Update link from develop to release/2.3 (#4405)

* develop -> release/2.3

Update link from develop to release/2.3 (#4405)
* develop -> release/2.3
f4719c47 · Kaipeng Deng · GitHub · b21d1294 · f4719c47 · f4719c47
48 changed file
--- a/configs/cascade_rcnn/README.md
+++ b/configs/cascade_rcnn/README.md
@@ -4,12 +4,12 @@

 | 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
 | :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50-FPN         | Cascade Faster         |    1    |   1x    |     ----     |  41.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Cascade Mask         |    1    |   1x    |     ----     |  41.8  |    36.3    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN | Cascade Faster         |    1    |   1x    |     ----     |  44.4  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN | Cascade Faster         |    1    |   2x    |     ----     |  45.0  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN | Cascade Mask         |    1    |   1x    |     ----     |  44.9  |    39.1    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN | Cascade Mask         |    1    |   2x    |     ----     |  45.7  |    39.7    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
+| ResNet50-FPN         | Cascade Faster         |    1    |   1x    |     ----     |  41.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Cascade Mask         |    1    |   1x    |     ----     |  41.8  |    36.3    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN | Cascade Faster         |    1    |   1x    |     ----     |  44.4  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN | Cascade Faster         |    1    |   2x    |     ----     |  45.0  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN | Cascade Mask         |    1    |   1x    |     ----     |  44.9  |    39.1    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN | Cascade Mask         |    1    |   2x    |     ----     |  45.7  |    39.7    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |


 ## Citations

--- a/configs/centernet/README.md
+++ b/configs/centernet/README.md
@@ -18,8 +18,8 @@ English | [简体中文](README_cn.md)
 | backbone       | input shape | mAP   |    FPS    | download | config |
 | :--------------| :------- |  :----: | :------: | :----: |:-----: |
 | DLA-34(paper)  | 512x512 |  37.4  |     -   |    -   |   -    |
-| DLA-34         | 512x512 |  37.6  |     -   | [model](https://bj.bcebos.com/v1/paddledet/models/centernet_dla34_140e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_dla34_140e_coco.yml) |
-| ResNet50 + DLAUp  | 512x512 |  38.9  |     -   | [model](https://bj.bcebos.com/v1/paddledet/models/centernet_r50_140e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_r50_140e_coco.yml) |
+| DLA-34         | 512x512 |  37.6  |     -   | [model](https://bj.bcebos.com/v1/paddledet/models/centernet_dla34_140e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/centernet/centernet_dla34_140e_coco.yml) |
+| ResNet50 + DLAUp  | 512x512 |  38.9  |     -   | [model](https://bj.bcebos.com/v1/paddledet/models/centernet_r50_140e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/centernet/centernet_r50_140e_coco.yml) |

 ## Citations
 ```

--- a/configs/centernet/README_cn.md
+++ b/configs/centernet/README_cn.md
@@ -18,8 +18,8 @@
 | 骨干网络       | 输入尺寸 | mAP   |    FPS    | 下载链接 | 配置文件 |
 | :--------------| :------- |  :----: | :------: | :----: |:-----: |
 | DLA-34(paper)  | 512x512 |  37.4  |     -   |    -   |   -    |
-| DLA-34         | 512x512 |  37.6  |     -   | [下载链接](https://bj.bcebos.com/v1/paddledet/models/centernet_dla34_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_dla34_140e_coco.yml) |
-| ResNet50 + DLAUp  | 512x512 |  38.9  |     -   | [下载链接](https://bj.bcebos.com/v1/paddledet/models/centernet_r50_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_r50_140e_coco.yml) |
+| DLA-34         | 512x512 |  37.6  |     -   | [下载链接](https://bj.bcebos.com/v1/paddledet/models/centernet_dla34_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/centernet/centernet_dla34_140e_coco.yml) |
+| ResNet50 + DLAUp  | 512x512 |  38.9  |     -   | [下载链接](https://bj.bcebos.com/v1/paddledet/models/centernet_r50_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/centernet/centernet_r50_140e_coco.yml) |


 ## 引用

--- a/configs/dcn/README.md
+++ b/configs/dcn/README.md
@@ -2,17 +2,17 @@

 | 骨架网络             | 网络类型           | 卷积    | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | Mask AP |                           下载                           | 配置文件 |
 | :------------------- | :------------- | :-----: |:--------: | :-----: | :-----------: |:----: | :-----: | :----------------------------------------------------------: | :----: |
-| ResNet50-FPN         | Faster         | c3-c5   |    1      |   1x    |    -     |  42.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r50_fpn_1x_coco.yml) |
-| ResNet50-vd-FPN      | Faster         | c3-c5   |    1      |   1x    |    -     |  42.7  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml) |
-| ResNet50-vd-FPN      | Faster         | c3-c5   |    1      |   2x    |    -     |  43.7  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml) |
-| ResNet101-vd-FPN     | Faster         | c3-c5   |    1      |   1x    |    -     |  45.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml) |
-| ResNeXt101-vd-FPN    | Faster         | c3-c5   |    1      |   1x    |    -     |  46.5  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Mask           | c3-c5   |    1      |   1x    |    -     |  42.7  |   38.4   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_r50_fpn_1x_coco.yml) |
-| ResNet50-vd-FPN      | Mask           | c3-c5   |    1      |   2x    |    -     |  44.6  |  39.8   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml) |
-| ResNet101-vd-FPN     | Mask           | c3-c5   |    1      |   1x    |    -     |  45.6 |  40.6  | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml) |
-| ResNeXt101-vd-FPN    | Mask           | c3-c5   |    1      |   1x    |     -    |  47.3 |  42.0  | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Cascade Faster         | c3-c5   |    1      |   1x    |    -     |  42.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/cascade_rcnn_dcn_r50_fpn_1x_coco.yml) |
-| ResNeXt101-vd-FPN    | Cascade Faster           | c3-c5   |    1      |   1x    |     -    |  48.8 |  -  | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Faster         | c3-c5   |    1      |   1x    |    -     |  42.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/faster_rcnn_dcn_r50_fpn_1x_coco.yml) |
+| ResNet50-vd-FPN      | Faster         | c3-c5   |    1      |   1x    |    -     |  42.7  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml) |
+| ResNet50-vd-FPN      | Faster         | c3-c5   |    1      |   2x    |    -     |  43.7  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml) |
+| ResNet101-vd-FPN     | Faster         | c3-c5   |    1      |   1x    |    -     |  45.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Faster         | c3-c5   |    1      |   1x    |    -     |  46.5  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Mask           | c3-c5   |    1      |   1x    |    -     |  42.7  |   38.4   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/mask_rcnn_dcn_r50_fpn_1x_coco.yml) |
+| ResNet50-vd-FPN      | Mask           | c3-c5   |    1      |   2x    |    -     |  44.6  |  39.8   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml) |
+| ResNet101-vd-FPN     | Mask           | c3-c5   |    1      |   1x    |    -     |  45.6 |  40.6  | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Mask           | c3-c5   |    1      |   1x    |     -    |  47.3 |  42.0  | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Cascade Faster         | c3-c5   |    1      |   1x    |    -     |  42.1  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/cascade_rcnn_dcn_r50_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Cascade Faster           | c3-c5   |    1      |   1x    |     -    |  48.8 |  -  | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |


 **注意事项:**  

--- a/configs/deformable_detr/README.md
+++ b/configs/deformable_detr/README.md
@@ -10,7 +10,7 @@ Deformable DETR is an object detection model based on DETR. We reproduced the mo

 | Backbone | Model | Images/GPU  | Inf time (fps) | Box AP | Config | Download |
 |:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:|
-| R-50 | Deformable DETR  | 2 | --- | 44.1 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/deformable_detr/deformable_detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams) |
+| R-50 | Deformable DETR  | 2 | --- | 44.1 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/deformable_detr/deformable_detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams) |

 **Notes:**


--- a/configs/detr/README.md
+++ b/configs/detr/README.md
@@ -10,7 +10,7 @@ DETR is an object detection model based on transformer. We reproduced the model

 | Backbone | Model | Images/GPU  | Inf time (fps) | Box AP | Config | Download |
 |:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:|
-| R-50 | DETR  | 4 | --- | 42.3 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/detr/detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/detr_r50_1x_coco.pdparams) |
+| R-50 | DETR  | 4 | --- | 42.3 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/detr/detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/detr_r50_1x_coco.pdparams) |

 **Notes:**


--- a/configs/dota/README.md
+++ b/configs/dota/README.md
@@ -113,7 +113,7 @@ python3.7 tools/eval.py -c configs/dota/s2anet_1x_spine.yml -o weights=output/s2
 # 使用提供训练好的模型评估
 python3.7 tools/eval.py -c configs/dota/s2anet_1x_spine.yml -o weights=https://paddledet.bj.bcebos.com/models/s2anet_1x_spine.pdparams
 ```
-** 注意：** 
+** 注意：**
 (1) dota数据集中是train和val数据作为训练集一起训练的，对dota数据集进行评估时需要自定义设置评估数据集配置。

 (2) 骨骼数据集是由分割数据转换而来，由于椎间盘不同类别对于检测任务而言区别很小，且s2anet算法最后得出的分数较低，评估时默认阈值为0.5，mAP较低是正常的。建议通过可视化查看检测结果。
@@ -142,8 +142,8 @@ python3.7 tools/infer.py -c configs/dota/s2anet_alignconv_2x_dota.yml -o weights

 |     模型     |  Conv类型  |   mAP    |   模型下载   |   配置文件   |
 |:-----------:|:----------:|:--------:| :----------:| :---------: |
-|   S2ANet    |   Conv     |   71.42  |  [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dota/s2anet_conv_2x_dota.yml)                   |
-|   S2ANet    |  AlignConv |   74.0   |  [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dota/s2anet_alignconv_2x_dota.yml)                   |
+|   S2ANet    |   Conv     |   71.42  |  [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dota/s2anet_conv_2x_dota.yml)                   |
+|   S2ANet    |  AlignConv |   74.0   |  [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dota/s2anet_alignconv_2x_dota.yml)                   |

 **注意：** 这里使用`multiclass_nms`，与原作者使用nms略有不同。


--- a/configs/dota/README_en.md
+++ b/configs/dota/README_en.md
@@ -124,7 +124,7 @@ python3.7 tools/eval.py -c configs/dota/s2anet_1x_spine.yml -o weights=output/s2
 # Use a trained model to evaluate
 python3.7 tools/eval.py -c configs/dota/s2anet_1x_spine.yml -o weights=https://paddledet.bj.bcebos.com/models/s2anet_1x_spine.pdparams
 ```
-**Attention:** 
+**Attention:**
 (1) The DOTA dataset is trained together with train and val data as a training set, and the evaluation dataset configuration needs to be customized when evaluating the DOTA dataset.

 (2) Bone dataset is transformed from segmented data. As there is little difference between different types of discs for detection tasks, and the score obtained by S2ANET algorithm is low, the default threshold for evaluation is 0.5, a low mAP is normal. You are advised to view the detection result visually.
@@ -152,8 +152,8 @@ Please refer to [DOTA_devkit](https://github.com/CAPTAIN-WHU/DOTA_devkit) genera

 |     Model     |  Conv Type  |   mAP    |   Model Download   |   Configuration File   |
 |:-----------:|:----------:|:--------:| :----------:| :---------: |
-|   S2ANet    |   Conv     |   71.42  |  [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dota/s2anet_conv_2x_dota.yml)                   |
-|   S2ANet    |  AlignConv |   74.0   |  [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dota/s2anet_alignconv_2x_dota.yml)                   |
+|   S2ANet    |   Conv     |   71.42  |  [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dota/s2anet_conv_2x_dota.yml)                   |
+|   S2ANet    |  AlignConv |   74.0   |  [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/dota/s2anet_alignconv_2x_dota.yml)                   |

 **Attention:** `multiclass_nms` is used here, which is slightly different from the original author's use of NMS.


--- a/configs/face_detection/README.md
+++ b/configs/face_detection/README.md
@@ -11,8 +11,8 @@

 | 网络结构 | 输入尺寸 | 图片个数/GPU | 学习率策略 | Easy/Medium/Hard Set  | 预测时延（SD855）| 模型大小(MB) | 下载 | 配置文件 |
 |:------------:|:--------:|:----:|:-------:|:-------:|:---------:|:----------:|:---------:|:--------:|
-| BlazeFace  | 640  |    8    | 1000e     | 0.885 / 0.855 / 0.731 | - | 0.472 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/develop/configs/face_detection/blazeface_1000e.yml) |
-| BlazeFace-FPN-SSH  | 640  |    8    | 1000e     | 0.907 / 0.883 / 0.793 | - | 0.479 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/develop/configs/face_detection/blazeface_fpn_ssh_1000e.yml) |
+| BlazeFace  | 640  |    8    | 1000e     | 0.885 / 0.855 / 0.731 | - | 0.472 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/face_detection/blazeface_1000e.yml) |
+| BlazeFace-FPN-SSH  | 640  |    8    | 1000e     | 0.907 / 0.883 / 0.793 | - | 0.479 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/face_detection/blazeface_fpn_ssh_1000e.yml) |

 **注意:**  
 - 我们使用多尺度评估策略得到`Easy/Medium/Hard Set`里的mAP。具体细节请参考[在WIDER-FACE数据集上评估](#在WIDER-FACE数据集上评估)。

--- a/configs/face_detection/README_en.md
+++ b/configs/face_detection/README_en.md
@@ -11,8 +11,8 @@

 | Network structure | size | images/GPUs | Learning rate strategy | Easy/Medium/Hard Set  | Prediction delay（SD855）| Model size(MB) | Download | Configuration File |
 |:------------:|:--------:|:----:|:-------:|:-------:|:---------:|:----------:|:---------:|:--------:|
-| BlazeFace  | 640  |    8    | 1000e     | 0.885 / 0.855 / 0.731 | - | 0.472 |[link](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/develop/configs/face_detection/blazeface_1000e.yml) |
-| BlazeFace-FPN-SSH  | 640  |    8    | 1000e     | 0.907 / 0.883 / 0.793 | - | 0.479 |[link](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/develop/configs/face_detection/blazeface_fpn_ssh_1000e.yml) |
+| BlazeFace  | 640  |    8    | 1000e     | 0.885 / 0.855 / 0.731 | - | 0.472 |[link](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/face_detection/blazeface_1000e.yml) |
+| BlazeFace-FPN-SSH  | 640  |    8    | 1000e     | 0.907 / 0.883 / 0.793 | - | 0.479 |[link](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/face_detection/blazeface_fpn_ssh_1000e.yml) |

 **Attention:**  
 - We use a multi-scale evaluation strategy to get the mAP in `Easy/Medium/Hard Set`. Please refer to the [evaluation on the WIDER FACE dataset](#Evaluated-on-the-WIDER-FACE-Dataset) for details.

--- a/configs/faster_rcnn/README.md
+++ b/configs/faster_rcnn/README.md
@@ -4,25 +4,25 @@

 | 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
 | :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50             | Faster         |    1    |   1x    |     ----     |  36.7  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml) |
-| ResNet50-vd          | Faster         |    1    |   1x    |     ----     |  37.6  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml) |
-| ResNet101            | Faster         |    1    |   1x    |     ----     |  39.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml) |
-| ResNet34-FPN         | Faster         |    1    |   1x    |     ----     |  37.8  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml) |
-| ResNet34-vd-FPN      | Faster         |    1    |   1x    |     ----     |  38.5  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Faster         |    1    |   1x    |     ----     |  38.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Faster         |    1    |   2x    |     ----     |  40.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_fpn_2x_coco.yml) |
-| ResNet50-vd-FPN      | Faster         |    1    |   1x    |     ----     |  39.5  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco.yml) |
-| ResNet50-vd-FPN      | Faster         |    1    |   2x    |     ----     |  40.8  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_2x_coco.yml) |
-| ResNet101-FPN        | Faster         |    1    |   2x    |     ----     |  41.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.yml) |
-| ResNet101-vd-FPN     | Faster         |    1    |   1x    |     ----     |  42.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml) |
-| ResNet101-vd-FPN     | Faster         |    1    |   2x    |     ----     |  43.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml) |
-| ResNeXt101-vd-FPN    | Faster         |    1    |   1x    |     ----     |  43.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) |
-| ResNeXt101-vd-FPN    | Faster         |    1    |   2x    |     ----     |  44.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN | Faster       |    1    |   1x    |     ----     |  41.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN | Faster       |    1    |   2x    |     ----     |  42.3  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_ssld_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_ssld_fpn_2x_coco.yml) |
-| Swin-Tiny-FPN | Faster       |    2    |   1x    |     ----     |  42.6  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_swin_tiny_1x_coco.yml) |
-| Swin-Tiny-FPN | Faster       |    2    |   2x    |     ----     |  44.8  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_swin_tiny_2x_coco.yml) |
-| Swin-Tiny-FPN | Faster       |    2    |   3x    |     ----     |  45.3  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_3x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_swin_tiny_3x_coco.yml) |
+| ResNet50             | Faster         |    1    |   1x    |     ----     |  36.7  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml) |
+| ResNet50-vd          | Faster         |    1    |   1x    |     ----     |  37.6  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml) |
+| ResNet101            | Faster         |    1    |   1x    |     ----     |  39.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml) |
+| ResNet34-FPN         | Faster         |    1    |   1x    |     ----     |  37.8  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml) |
+| ResNet34-vd-FPN      | Faster         |    1    |   1x    |     ----     |  38.5  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Faster         |    1    |   1x    |     ----     |  38.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Faster         |    1    |   2x    |     ----     |  40.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_fpn_2x_coco.yml) |
+| ResNet50-vd-FPN      | Faster         |    1    |   1x    |     ----     |  39.5  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco.yml) |
+| ResNet50-vd-FPN      | Faster         |    1    |   2x    |     ----     |  40.8  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_2x_coco.yml) |
+| ResNet101-FPN        | Faster         |    1    |   2x    |     ----     |  41.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.yml) |
+| ResNet101-vd-FPN     | Faster         |    1    |   1x    |     ----     |  42.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml) |
+| ResNet101-vd-FPN     | Faster         |    1    |   2x    |     ----     |  43.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml) |
+| ResNeXt101-vd-FPN    | Faster         |    1    |   1x    |     ----     |  43.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Faster         |    1    |   2x    |     ----     |  44.0  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN | Faster       |    1    |   1x    |     ----     |  41.4  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN | Faster       |    1    |   2x    |     ----     |  42.3  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_ssld_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_r50_vd_ssld_fpn_2x_coco.yml) |
+| Swin-Tiny-FPN | Faster       |    2    |   1x    |     ----     |  42.6  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_swin_tiny_1x_coco.yml) |
+| Swin-Tiny-FPN | Faster       |    2    |   2x    |     ----     |  44.8  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_swin_tiny_2x_coco.yml) |
+| Swin-Tiny-FPN | Faster       |    2    |   3x    |     ----     |  45.3  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_3x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/faster_rcnn/faster_rcnn_swin_tiny_3x_coco.yml) |

 ## Citations
 ```

--- a/configs/fcos/README.md
+++ b/configs/fcos/README.md
@@ -12,9 +12,9 @@ FCOS (Fully Convolutional One-Stage Object Detection) is a fast anchor-free obje

 | Backbone        | Model      | images/GPU | lr schedule |FPS | Box AP |                           download                          | config |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50-FPN    | FCOS           |    2    |   1x      |     ----     |  39.6  | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN    | FCOS+DCN       |    2    |   1x      |     ----     |  44.3  | [download](https://paddledet.bj.bcebos.com/models/fcos_dcn_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_dcn_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN    | FCOS+multiscale_train    |    2    |   2x      |     ----     |  41.8  | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_multiscale_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml) |
+| ResNet50-FPN    | FCOS           |    2    |   1x      |     ----     |  39.6  | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/fcos/fcos_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN    | FCOS+DCN       |    2    |   1x      |     ----     |  44.3  | [download](https://paddledet.bj.bcebos.com/models/fcos_dcn_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/fcos/fcos_dcn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN    | FCOS+multiscale_train    |    2    |   2x      |     ----     |  41.8  | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_multiscale_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml) |

 **Notes:**


--- a/configs/gfl/README.md
+++ b/configs/gfl/README.md
@@ -8,11 +8,11 @@ We reproduce the object detection results in the paper [Generalized Focal Loss:

 | Backbone        | Model      | batch-size/GPU | lr schedule |FPS | Box AP |                           download                          | config |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50    | GFL           |    2    |   1x      |     ----     |  41.0  | [model](https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r50_fpn_1x_coco.yml) |
-| ResNet101-vd   | GFL           |    2    |   2x      |     ----     |  46.8  | [model](https://paddledet.bj.bcebos.com/models/gfl_r101vd_fpn_mstrain_2x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r101vd_fpn_mstrain_2x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r101vd_fpn_mstrain_2x_coco.yml) |
-| ResNet34-vd    | GFL           |    2    |   1x      |     ----     |  40.8  | [model](https://paddledet.bj.bcebos.com/models/gfl_r34vd_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r34vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r34vd_1x_coco.yml) |
-| ResNet18-vd   | GFL           |    2    |   1x      |     ----     |  36.6  | [model](https://paddledet.bj.bcebos.com/models/gfl_r18vd_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r18vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r18vd_1x_coco.yml) |
-| ResNet50    | GFLv2       |    2    |   1x      |     ----     |  41.2  | [model](https://paddledet.bj.bcebos.com/models/gflv2_r50_fpn_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gflv2_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gflv2_r50_fpn_1x_coco.yml) |
+| ResNet50    | GFL           |    2    |   1x      |     ----     |  41.0  | [model](https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gfl/gfl_r50_fpn_1x_coco.yml) |
+| ResNet101-vd   | GFL           |    2    |   2x      |     ----     |  46.8  | [model](https://paddledet.bj.bcebos.com/models/gfl_r101vd_fpn_mstrain_2x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r101vd_fpn_mstrain_2x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gfl/gfl_r101vd_fpn_mstrain_2x_coco.yml) |
+| ResNet34-vd    | GFL           |    2    |   1x      |     ----     |  40.8  | [model](https://paddledet.bj.bcebos.com/models/gfl_r34vd_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r34vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gfl/gfl_r34vd_1x_coco.yml) |
+| ResNet18-vd   | GFL           |    2    |   1x      |     ----     |  36.6  | [model](https://paddledet.bj.bcebos.com/models/gfl_r18vd_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r18vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gfl/gfl_r18vd_1x_coco.yml) |
+| ResNet50    | GFLv2       |    2    |   1x      |     ----     |  41.2  | [model](https://paddledet.bj.bcebos.com/models/gflv2_r50_fpn_1x_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_gflv2_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gfl/gflv2_r50_fpn_1x_coco.yml) |


 **Notes:**

--- a/configs/gn/README.md
+++ b/configs/gn/README.md
@@ -4,10 +4,10 @@

 | 骨架网络         | 网络类型        | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | Mask AP |  下载  | 配置文件 |
 | :------------- | :------------- | :-----------: | :------: | :--------: |:-----: | :-----: | :----: | :----: |
-| ResNet50-FPN   | Faster         |    1          |   2x     |    -       |  41.9  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/faster_rcnn_r50_fpn_gn_2x_coco.yml) |
-| ResNet50-FPN   | Mask           |    1          |   2x     |    -       |  42.3   |  38.4  | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/mask_rcnn_r50_fpn_gn_2x_coco.yml) |
-| ResNet50-FPN   | Cascade Faster    |    1          |   2x     |    -       |  44.6   |  -  | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/cascade_rcnn_r50_fpn_gn_2x_coco.yml) |
-| ResNet50-FPN   | Cacade Mask      |    1          |   2x     |    -       |  45.0   |  39.3  | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/cascade_mask_rcnn_r50_fpn_gn_2x_coco.yml) |
+| ResNet50-FPN   | Faster         |    1          |   2x     |    -       |  41.9  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gn/faster_rcnn_r50_fpn_gn_2x_coco.yml) |
+| ResNet50-FPN   | Mask           |    1          |   2x     |    -       |  42.3   |  38.4  | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gn/mask_rcnn_r50_fpn_gn_2x_coco.yml) |
+| ResNet50-FPN   | Cascade Faster    |    1          |   2x     |    -       |  44.6   |  -  | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gn/cascade_rcnn_r50_fpn_gn_2x_coco.yml) |
+| ResNet50-FPN   | Cacade Mask      |    1          |   2x     |    -       |  45.0   |  39.3  | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/gn/cascade_mask_rcnn_r50_fpn_gn_2x_coco.yml) |


 **注意：** Faster R-CNN baseline仅使用 `2fc` head，而此处使用[`4conv1fc` head](https://arxiv.org/abs/1803.08494)（4层conv之间使用GN），并且FPN也使用GN，而对于Mask R-CNN是在mask head的4层conv之间也使用GN。

--- a/configs/hrnet/README.md
+++ b/configs/hrnet/README.md
@@ -30,5 +30,5 @@

 | Backbone                | Type           | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP |                           Download                           | Configs |
 | :---------------------- | :------------- | :-------: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: | :-----: |
-| HRNetV2p_W18            | Faster         |     1     |   1x    |    -      |  36.8  |    -    | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml) |
-| HRNetV2p_W18            | Faster         |     1     |   2x    |    -      |  39.0  |    -    | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.yml) |
+| HRNetV2p_W18            | Faster         |     1     |   1x    |    -      |  36.8  |    -    | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml) |
+| HRNetV2p_W18            | Faster         |     1     |   2x    |    -      |  39.0  |    -    | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.yml) |
--- a/configs/keypoint/README.md
+++ b/configs/keypoint/README.md
@@ -42,7 +42,7 @@ MPII数据集

 ### 1、环境安装

-    请参考PaddleDetection [安装文档](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/INSTALL_cn.md)正确安装PaddlePaddle和PaddleDetection即可。
+    请参考PaddleDetection [安装文档](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/docs/tutorials/INSTALL_cn.md)正确安装PaddlePaddle和PaddleDetection即可。

 ### 2、数据准备


--- a/configs/mask_rcnn/README.md
+++ b/configs/mask_rcnn/README.md
@@ -4,18 +4,18 @@

 | 骨架网络              | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
 | :------------------- | :------------| :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50             | Mask         |    1    |   1x    |     ----     |  37.4  |    32.8    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml) |
-| ResNet50             | Mask         |    1    |   2x    |     ----     |  39.7  |    34.5    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_2x_coco.yml) |
-| ResNet50-FPN         | Mask         |    1    |   1x    |     ----     |  39.2  |    35.6    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Mask         |    1    |   2x    |     ----     |  40.5  |    36.7    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.yml) |
-| ResNet50-vd-FPN         | Mask         |    1    |   1x    |     ----     |  40.3  |    36.4    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml) |
-| ResNet50-vd-FPN         | Mask         |    1    |   2x    |     ----     |  41.4  |    37.5    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml) |
-| ResNet101-FPN         | Mask         |    1    |   1x    |     ----     |  40.6  |    36.6    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml) |
-| ResNet101-vd-FPN         | Mask         |    1    |   1x    |     ----     |  42.4  |    38.1    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml) |
-| ResNeXt101-vd-FPN        | Mask         |    1    |   1x    |     ----     |  44.0  |    39.5   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) |
-| ResNeXt101-vd-FPN        | Mask         |    1    |   2x    |     ----     |  44.6  |    39.8   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN   | Mask       |    1    |   1x    |     ----     |  42.0  |    38.2    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-SSLDv2-FPN   | Mask       |    1    |   2x    |     ----     |  42.7  |    38.9    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
+| ResNet50             | Mask         |    1    |   1x    |     ----     |  37.4  |    32.8    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml) |
+| ResNet50             | Mask         |    1    |   2x    |     ----     |  39.7  |    34.5    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_2x_coco.yml) |
+| ResNet50-FPN         | Mask         |    1    |   1x    |     ----     |  39.2  |    35.6    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Mask         |    1    |   2x    |     ----     |  40.5  |    36.7    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.yml) |
+| ResNet50-vd-FPN         | Mask         |    1    |   1x    |     ----     |  40.3  |    36.4    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml) |
+| ResNet50-vd-FPN         | Mask         |    1    |   2x    |     ----     |  41.4  |    37.5    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml) |
+| ResNet101-FPN         | Mask         |    1    |   1x    |     ----     |  40.6  |    36.6    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml) |
+| ResNet101-vd-FPN         | Mask         |    1    |   1x    |     ----     |  42.4  |    38.1    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN        | Mask         |    1    |   1x    |     ----     |  44.0  |    39.5   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN        | Mask         |    1    |   2x    |     ----     |  44.6  |    39.8   | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN   | Mask       |    1    |   1x    |     ----     |  42.0  |    38.2    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN   | Mask       |    1    |   2x    |     ----     |  42.7  |    38.9    | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |


 ## Citations

--- a/configs/mot/README.md
+++ b/configs/mot/README.md
@@ -50,15 +50,15 @@ pip install -r requirements.txt

 | backbone  | input shape | MOTA | IDF1 |  IDS  |   FP  |   FN  |   FPS  | det result/model |ReID model| config |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :---: | :---: | :---: |
-| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 ### DeepSORT Results on MOT-16 Test Set

 | backbone  | input shape | MOTA | IDF1 |  IDS  |   FP  |   FN  |   FPS  | det result/model |ReID model| config |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :---: | :---: | :---: |
-| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - |[det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - |[det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 **Notes:**
 DeepSORT does not need to train on MOT dataset, only used for evaluation. Now it supports two evaluation methods.
@@ -95,19 +95,19 @@ If you use a stronger detection model, you can get better results. Each txt is t

 | backbone           | input shape | MOTA | IDF1  |  IDS  |   FP  |  FN  |  FPS  | download | config |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
-| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
-| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |

 ### JDE Results on MOT-16 Test Set

 | backbone           | input shape | MOTA | IDF1  |  IDS  |   FP  |  FN  |  FPS  | download | config |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
 | DarkNet53(paper)   | 1088x608 |  64.4  |  55.8  | 1544  |    -    |   -   |   -   |   -  |   -   |
-| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
 | DarkNet53(paper)   | 864x480 |   62.1  |  56.9  | 1608  |    -    |   -   |   -   |   -  |   -   |
-| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070  | 55081 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923  | 61789  |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070  | 55081 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923  | 61789  |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |

 **Notes:**
 JDE used 8 GPUs for training and mini-batch size as 4 on each GPU, and trained for 30 epoches.
@@ -178,19 +178,19 @@ If you use a stronger detection model, you can get better results. Each txt is t
 ### FairMOT Results on HT-21 Training Set
 |    backbone      |  input shape |  MOTA  |  IDF1  |  IDS  |   FP  |   FN   |   FPS   |  download | config |
 | :--------------| :------- | :----: | :----: | :---: | :----: | :---: | :------: | :----: |:----: |
-| DLA-34         | 1088x608 |  64.7 |  69.0  |   8533  |  148817  |  234970  |     -   | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |
+| DLA-34         | 1088x608 |  64.7 |  69.0  |   8533  |  148817  |  234970  |     -   | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |

 ### FairMOT Results on HT-21 Test Set
 |    backbone      |  input shape |  MOTA  |  IDF1  |  IDS  |   FP  |   FN   |   FPS   |  download | config |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: |:-------: | :----: | :----: |
-| DLA-34         | 1088x608 |  60.8  |  62.8  |  12781   |  118109  |  198896 |    -     | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |
+| DLA-34         | 1088x608 |  60.8  |  62.8  |  12781   |  118109  |  198896 |    -     | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |

 ### [Pedestrian Tracking](./pedestrian/README.md)
 ### FairMOT Results on each val-set of Pedestrian category
 |    Dataset      |  input shape |  MOTA  |  IDF1  |  FPS   |  download | config |
 | :-------------| :------- | :----: | :----: | :----: | :-----: |:------: |
-|  PathTrack    | 1088x608 |  44.9 |    59.3   |    -   |[model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_pathtrack.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_pathtrack.yml) |
-|  VisDrone     | 1088x608 |  49.2 |   63.1 |    -   | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_visdrone_pedestrian.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_visdrone_pedestrian.yml) |
+|  PathTrack    | 1088x608 |  44.9 |    59.3   |    -   |[model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_pathtrack.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_pathtrack.yml) |
+|  VisDrone     | 1088x608 |  49.2 |   63.1 |    -   | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_visdrone_pedestrian.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_visdrone_pedestrian.yml) |

 ### [Vehicle Tracking](./vehicle/README.md)
 ### FairMOT Results on each val-set of Vehicle category

--- a/configs/mot/README_cn.md
+++ b/configs/mot/README_cn.md
@@ -49,15 +49,15 @@ pip install -r requirements.txt

 |  骨干网络  |  输入尺寸  |  MOTA  |  IDF1  |  IDS |   FP   |   FN  |  FPS | 检测结果或模型 | ReID模型 |配置文件 |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :-----:| :-----: | :-----: |
-| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 ### DeepSORT在MOT-16 Test Set上结果

 |  骨干网络  |  输入尺寸  |  MOTA  |  IDF1  |  IDS |   FP   |   FN  |  FPS | 检测结果或模型 | ReID模型 |配置文件 |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :-----: | :-----: |:-----: |
-| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) | [ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) | [ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 **注意:**

@@ -95,9 +95,9 @@ wget https://dataset.bj.bcebos.com/mot/det_results_dir.zip

 | 骨干网络            |  输入尺寸  |  MOTA  |  IDF1 |  IDS  |  FP  |  FN  |  FPS  |  下载链接  | 配置文件 |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
-| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
-| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |


 ### JDE在MOT-16 Test Set上结果
@@ -105,10 +105,10 @@ wget https://dataset.bj.bcebos.com/mot/det_results_dir.zip
 | 骨干网络            |  输入尺寸  |  MOTA  |  IDF1 |  IDS  |  FP  |  FN  |  FPS  |  下载链接  | 配置文件 |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
 | DarkNet53(paper)   | 1088x608 |  64.4  |  55.8  | 1544  |    -   |   -   |   -   |   -   |   -   |
-| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
 | DarkNet53(paper)   | 864x480 |   62.1  |  56.9  | 1608  |    -   |   -   |   -   |   -   |   -   |
-| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070 | 55081 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923 | 61789 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070 | 55081 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923 | 61789 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |

 **注意:**
 JDE使用8个GPU进行训练，每个GPU上batch size为4，训练了30个epoch。
@@ -177,19 +177,19 @@ wget https://dataset.bj.bcebos.com/mot/det_results_dir.zip
 ### FairMOT在HT-21 Training Set上结果
 |    骨干网络      |  输入尺寸 |  MOTA  |  IDF1  |  IDS  |   FP  |   FN   |   FPS   |  下载链接 | 配置文件 |
 | :--------------| :------- | :----: | :----: | :---: | :----: | :---: | :------: | :----: |:----: |
-| DLA-34         | 1088x608 |  64.7 |  69.0  |   8533  |  148817  |  234970  |     -   | [下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |
+| DLA-34         | 1088x608 |  64.7 |  69.0  |   8533  |  148817  |  234970  |     -   | [下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |

 ### FairMOT在HT-21 Test Set上结果
 |    骨干网络      |  输入尺寸 |  MOTA  |  IDF1  |   IDS  |   FP   |   FN   |    FPS   |  下载链接  | 配置文件 |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: |:-------: | :----: | :----: |
-| DLA-34         | 1088x608 |  60.8  |  62.8  |  12781   |  118109  |  198896 |    -     | [下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |
+| DLA-34         | 1088x608 |  60.8  |  62.8  |  12781   |  118109  |  198896 |    -     | [下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_headtracking21.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/headtracking21/fairmot_dla34_30e_1088x608_headtracking21.yml) |

 ### [行人跟踪 (Pedestrian Tracking)](./pedestrian/README.md)
 ### FairMOT在各个数据集val-set上Pedestrian类别的结果
 |    数据集      |  输入尺寸 |  MOTA  |  IDF1  |  FPS   |  下载链接 | 配置文件 |
 | :-------------| :------- | :----: | :----: | :----: | :-----: |:------: |
-|  PathTrack    | 1088x608 |  44.9 |    59.3   |    -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_pathtrack.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_pathtrack.yml) |
-|  VisDrone     | 1088x608 |  49.2 |   63.1 |    -   | [下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_visdrone_pedestrian.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_visdrone_pedestrian.yml) |
+|  PathTrack    | 1088x608 |  44.9 |    59.3   |    -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_pathtrack.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_pathtrack.yml) |
+|  VisDrone     | 1088x608 |  49.2 |   63.1 |    -   | [下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608_visdrone_pedestrian.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/pedestrian/fairmot_dla34_30e_1088x608_visdrone_pedestrian.yml) |

 ### [车辆跟踪 (Vehicle Tracking)](./vehicle/README.md)
 ### FairMOT在各个数据集val-set上Vehicle类别的结果

--- a/configs/mot/deepsort/README.md
+++ b/configs/mot/deepsort/README.md
@@ -17,15 +17,15 @@ English | [简体中文](README_cn.md)

 | backbone  | input shape | MOTA | IDF1 |  IDS  |   FP  |   FN  |   FPS  | det result/model |ReID model| config |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :---: | :---: | :---: |
-| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 ### DeepSORT Results on MOT-16 Test Set

 | backbone  | input shape | MOTA | IDF1 |  IDS  |   FP  |   FN  |   FPS  | det result/model |ReID model| config |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :---: | :---: | :---: |
-| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - |[det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - |[det result](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [det model](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID model](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 **Notes:**
 DeepSORT does not need to train on MOT dataset, only used for evaluation. Now it supports two evaluation methods.

--- a/configs/mot/deepsort/README_cn.md
+++ b/configs/mot/deepsort/README_cn.md
@@ -17,15 +17,15 @@

 |  骨干网络  |  输入尺寸  |  MOTA  |  IDF1  |  IDS |   FP   |   FN  |  FPS | 检测结果或模型 | ReID模型 |配置文件 |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :-----:| :-----: | :-----: |
-| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  68.3  |  56.5  | 1722 |  17337 | 15890 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams) |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 ### DeepSORT在MOT-16 Test Set上结果

 |  骨干网络  |  输入尺寸  |  MOTA  |  IDF1  |  IDS |   FP   |   FN  |  FPS | 检测结果或模型 | ReID模型 |配置文件 |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: | :-----: | :-----: |:-----: |
-| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) | [ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
-| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  64.1  |  53.0  | 1024  |  12457  | 51919 |  - | [检测结果](https://dataset.bj.bcebos.com/mot/det_results_dir.zip) | [ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| ResNet-101 | 1088x608 |  61.2  |  48.5  | 1799  |  25796  | 43232 |  - | [检测模型](https://paddledet.bj.bcebos.com/models/mot/jde_yolov3_darknet53_30e_1088x608.pdparams)  |[ReID模型](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |

 **注意:**


--- a/configs/mot/jde/README.md
+++ b/configs/mot/jde/README.md
@@ -22,19 +22,19 @@ English | [简体中文](README_cn.md)

 | backbone           | input shape | MOTA | IDF1  |  IDS  |   FP  |  FN  |  FPS  | download | config |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
-| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
-| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |

 ### JDE Results on MOT-16 Test Set

 | backbone           | input shape | MOTA | IDF1  |  IDS  |   FP  |  FN  |  FPS  | download | config |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
 | DarkNet53(paper)   | 1088x608 |  64.4  |  55.8  | 1544  |    -    |   -   |   -   |   -  |   -   |
-| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
 | DarkNet53(paper)   | 864x480 |   62.1  |  56.9  | 1608  |    -    |   -   |   -   |   -  |   -   |
-| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070  | 55081 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923  | 61789  |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070  | 55081 |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923  | 61789  |   -   |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |

 **Notes:**
 JDE used 8 GPUs for training and mini-batch size as 4 on each GPU, and trained for 30 epoches.

--- a/configs/mot/jde/README_cn.md
+++ b/configs/mot/jde/README_cn.md
@@ -22,9 +22,9 @@

 | 骨干网络            |  输入尺寸  |  MOTA  |  IDF1 |  IDS  |  FP  |  FN  |  FPS  |  下载链接  | 配置文件 |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
-| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
-| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 1088x608 |  72.0  |  66.9  | 1397  |  7274  | 22209 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 864x480 |  69.1  |  64.7  | 1539  |  7544  | 25046 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |  63.7  |  64.4  | 1310  |  6782  | 31964 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |


 ### JDE在MOT-16 Test Set上结果
@@ -32,10 +32,10 @@
 | 骨干网络            |  输入尺寸  |  MOTA  |  IDF1 |  IDS  |  FP  |  FN  |  FPS  |  下载链接  | 配置文件 |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
 | DarkNet53(paper)   | 1088x608 |  64.4  |  55.8  | 1544  |    -   |   -   |   -   |   -   |   -   |
-| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
+| DarkNet53          | 1088x608 |  64.6  |  58.5  | 1864  |  10550 | 52088 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_1088x608.yml) |
 | DarkNet53(paper)   | 864x480 |   62.1  |  56.9  | 1608  |    -   |   -   |   -   |   -   |   -   |
-| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070 | 55081 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
-| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923 | 61789 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) |
+| DarkNet53          | 864x480 |   63.2  |  57.7  | 1966  |  10070 | 55081 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_864x480.yml) |
+| DarkNet53          | 576x320 |   59.1  |  56.4  | 1911  |  10923 | 61789 |   -   |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/mot/jde/jde_darknet53_30e_576x320.yml) |

 **注意:**
 JDE使用8个GPU进行训练，每个GPU上batch size为4，训练了30个epoch。

--- a/configs/pedestrian/README.md
+++ b/configs/pedestrian/README.md
@@ -5,7 +5,7 @@ We provide some models implemented by PaddlePaddle to detect objects in specific

 | Task                 | Algorithm | Box AP | Download                                                                                | Configs |
 |:---------------------|:---------:|:------:| :-------------------------------------------------------------------------------------: |:------:|
-| Pedestrian Detection |  YOLOv3  |  51.8  | [model](https://paddledet.bj.bcebos.com/models/pedestrian_yolov3_darknet.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/pedestrian/pedestrian_yolov3_darknet.yml) |
+| Pedestrian Detection |  YOLOv3  |  51.8  | [model](https://paddledet.bj.bcebos.com/models/pedestrian_yolov3_darknet.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/pedestrian/pedestrian_yolov3_darknet.yml) |

 ## Pedestrian Detection

@@ -17,7 +17,7 @@ The network for detecting vehicles is YOLOv3, the backbone of which is Dacknet53

 ### 2. Configuration for training

-PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for pedestrian detection:
+PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for pedestrian detection:

 * num_classes: 1
 * dataset_dir: dataset/pedestrian

--- a/configs/pedestrian/README_cn.md
+++ b/configs/pedestrian/README_cn.md
@@ -5,7 +5,7 @@

 | 任务                 | 算法 | 精度(Box AP) | 下载                                                                                | 配置文件 |
 |:---------------------|:---------:|:------:| :---------------------------------------------------------------------------------: | :------:|
-| 行人检测 |  YOLOv3  |  51.8  | [下载链接](https://paddledet.bj.bcebos.com/models/pedestrian_yolov3_darknet.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/pedestrian/pedestrian_yolov3_darknet.yml) |
+| 行人检测 |  YOLOv3  |  51.8  | [下载链接](https://paddledet.bj.bcebos.com/models/pedestrian_yolov3_darknet.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/pedestrian/pedestrian_yolov3_darknet.yml) |

 ## 行人检测（Pedestrian Detection）

@@ -18,7 +18,7 @@ Backbone为Dacknet53的YOLOv3。

 ### 2. 训练参数配置

-PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行行人检测的模型训练时，我们对以下参数进行了修改：
+PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行行人检测的模型训练时，我们对以下参数进行了修改：

 * num_classes: 1
 * dataset_dir: dataset/pedestrian

--- a/configs/picodet/README.md
+++ b/configs/picodet/README.md
@@ -22,21 +22,21 @@ We developed a series of lightweight models, which named `PP-PicoDet`. Because o

 | Model     | Input size | mAP<sup>val<br>0.5:0.95 | mAP<sup>val<br>0.5 | Params<br><sup>(M) | FLOPS<br><sup>(G) | Latency<sup><small>[NCNN](#latency)</small><sup><br><sup>(ms) | Latency<sup><small>[Lite](#latency)</small><sup><br><sup>(ms) |  download  | config |
 | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------ |
-| PicoDet-S |  320*320   |          27.1           |        41.4        |        0.99        |       0.73        |              8.13               |            **6.65**             | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_320_coco.yml) |
-| PicoDet-S |  416*416   |          30.6           |        45.5        |        0.99        |       1.24        |              12.37              |            **9.82**             | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco.yml) |
-| PicoDet-M |  320*320   |          30.9           |        45.7        |        2.15        |       1.48        |              11.27              |            **9.61**             | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_320_coco.yml) |
-| PicoDet-M |  416*416   |          34.3           |        49.8        |        2.15        |       2.50        |              17.39              |            **15.88**            | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_416_coco.yml) |
-| PicoDet-L |  320*320   |          32.9           |        48.2        |        3.30        |       2.23        |              15.26              |            **13.42**            | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_320_coco.yml) |
-| PicoDet-L |  416*416   |          36.6           |        52.5        |        3.30        |       3.76        |              23.36              |            **21.85**            | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_416_coco.yml) |
-| PicoDet-L |  640*640   |          40.9           |        57.6        |        3.30        |       8.91        |              54.11              |            **50.55**            | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_640_coco.yml) |
+| PicoDet-S |  320*320   |          27.1           |        41.4        |        0.99        |       0.73        |              8.13               |            **6.65**             | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_s_320_coco.yml) |
+| PicoDet-S |  416*416   |          30.6           |        45.5        |        0.99        |       1.24        |              12.37              |            **9.82**             | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_s_416_coco.yml) |
+| PicoDet-M |  320*320   |          30.9           |        45.7        |        2.15        |       1.48        |              11.27              |            **9.61**             | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_m_320_coco.yml) |
+| PicoDet-M |  416*416   |          34.3           |        49.8        |        2.15        |       2.50        |              17.39              |            **15.88**            | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_m_416_coco.yml) |
+| PicoDet-L |  320*320   |          32.9           |        48.2        |        3.30        |       2.23        |              15.26              |            **13.42**            | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_l_320_coco.yml) |
+| PicoDet-L |  416*416   |          36.6           |        52.5        |        3.30        |       3.76        |              23.36              |            **21.85**            | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_l_416_coco.yml) |
+| PicoDet-L |  640*640   |          40.9           |        57.6        |        3.30        |       8.91        |              54.11              |            **50.55**            | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_l_640_coco.yml) |

 #### More config

 | Model     | Input size | mAP<sup>val<br>0.5:0.95 | mAP<sup>val<br>0.5 | Params<br><sup>(M) | FLOPS<br><sup>(G) | Latency<sup><small>[NCNN](#latency)</small><sup><br><sup>(ms) | Latency<sup><small>[Lite](#latency)</small><sup><br><sup>(ms) |  download  | config |
 | :--------------------------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------- |
-| PicoDet-Shufflenetv2 1x      |  416*416   |          30.0           |        44.6        |        1.17        |       1.53        |              15.06              |            **10.63**            |      [model](https://paddledet.bj.bcebos.com/models/picodet_shufflenetv2_1x_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_shufflenetv2_1x_416_coco.log)      | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_shufflenetv2_1x_416_coco.yml)      |
-| PicoDet-MobileNetv3-large 1x |  416*416   |          35.6           |        52.0        |        3.55        |       2.80        |              20.71              |            **17.88**            | [model](https://paddledet.bj.bcebos.com/models/picodet_mobilenetv3_large_1x_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_mobilenetv3_large_1x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_mobilenetv3_large_1x_416_coco.yml) |
-| PicoDet-LCNet 1.5x           |  416*416   |          36.3           |        52.2        |        3.10        |       3.85        |              21.29              |            **20.8**             |           [model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_1_5x_416_coco.log)           | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_lcnet_1_5x_416_coco.yml)           |
+| PicoDet-Shufflenetv2 1x      |  416*416   |          30.0           |        44.6        |        1.17        |       1.53        |              15.06              |            **10.63**            |      [model](https://paddledet.bj.bcebos.com/models/picodet_shufflenetv2_1x_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_shufflenetv2_1x_416_coco.log)      | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/more_config/picodet_shufflenetv2_1x_416_coco.yml)      |
+| PicoDet-MobileNetv3-large 1x |  416*416   |          35.6           |        52.0        |        3.55        |       2.80        |              20.71              |            **17.88**            | [model](https://paddledet.bj.bcebos.com/models/picodet_mobilenetv3_large_1x_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_mobilenetv3_large_1x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/more_config/picodet_mobilenetv3_large_1x_416_coco.yml) |
+| PicoDet-LCNet 1.5x           |  416*416   |          36.3           |        52.2        |        3.10        |       3.85        |              21.29              |            **20.8**             |           [model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams) &#124; [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_1_5x_416_coco.log)           | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/more_config/picodet_lcnet_1_5x_416_coco.yml)           |

 <details open>
 <summary><b>Table Notes:</b></summary>

--- a/configs/ppyolo/README.md
+++ b/configs/ppyolo/README.md
--- a/configs/ppyolo/README_cn.md
+++ b/configs/ppyolo/README_cn.md
--- a/configs/rcnn_enhance/README.md
+++ b/configs/rcnn_enhance/README.md
@@ -9,4 +9,4 @@

 | 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
 | :---------------------- | :-------------:  | :-------: | :-----: | :------------: | :----: | :-----: | :-------------: | :-----: |
-| ResNet50-vd-FPN-Dcnv2         | Faster     |     2     |   3x    |     61.425     |  41.5  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) |
+| ResNet50-vd-FPN-Dcnv2         | Faster     |     2     |   3x    |     61.425     |  41.5  |    -    | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) |
--- a/configs/rcnn_enhance/README_en.md
+++ b/configs/rcnn_enhance/README_en.md
@@ -9,4 +9,4 @@

 | Backbone              | Network type | Number of images per GPU | Learning rate strategy | Inferring time(fps) | Box AP | Mask AP |                                      Download                                       |                                                           Configuration File                                                            |
 | :-------------------- | :----------: | :----------------------: | :--------------------: | :-----------------: | :----: | :-----: | :---------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------: |
-| ResNet50-vd-FPN-Dcnv2 |    Faster    |            2             |           3x           |       61.425        |  41.5  |    -    | [link](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) |
+| ResNet50-vd-FPN-Dcnv2 |    Faster    |            2             |           3x           |       61.425        |  41.5  |    -    | [link](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) |
--- a/configs/res2net/README.md
+++ b/configs/res2net/README.md
@@ -30,8 +30,8 @@

 | Backbone                | Type           | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP |                           Download                           | Configs |
 | :---------------------- | :------------- | :-------: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: | :-----: |
-| Res2Net50-FPN            | Faster         |     2     |   1x    |     -     |  40.6  |    -    | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.pdparams) |  [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/res2net/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.yml)  |
-| Res2Net50-FPN            | Mask         |     2     |   2x    |     -     |  42.4  |    38.1    | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/res2net/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.yml) |
-| Res2Net50-vd-FPN            | Mask         |     2     |   2x    |     -     |  42.6  |    38.1    | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/res2net/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.yml) |
+| Res2Net50-FPN            | Faster         |     2     |   1x    |     -     |  40.6  |    -    | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.pdparams) |  [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/configs/res2net/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.yml)  |
+| Res2Net50-FPN            | Mask         |     2     |   2x    |     -     |  42.4  |    38.1    | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/configs/res2net/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.yml) |
+| Res2Net50-vd-FPN            | Mask         |     2     |   2x    |     -     |  42.6  |    38.1    | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/configs/res2net/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.yml) |

 Note: all the above models are trained with 8 gpus.
--- a/configs/slim/README.md
+++ b/configs/slim/README.md
--- a/configs/slim/README_en.md
+++ b/configs/slim/README_en.md
--- a/configs/slim/distill/README.md
+++ b/configs/slim/distill/README.md
@@ -3,7 +3,7 @@
 ## YOLOv3模型蒸馏
 以YOLOv3-MobileNetV1为例，使用YOLOv3-ResNet34作为蒸馏训练的teacher网络, 对YOLOv3-MobileNetV1结构的student网络进行蒸馏。
 COCO数据集作为目标检测任务的训练目标难度更大，意味着teacher网络会预测出更多的背景bbox，如果直接用teacher的预测输出作为student学习的`soft label`会有严重的类别不均衡问题。解决这个问题需要引入新的方法，详细背景请参考论文:[Object detection at 200 Frames Per Second](https://arxiv.org/abs/1805.06361)。
-为了确定蒸馏的对象，我们首先需要找到student和teacher网络得到的`x,y,w,h,cls,objness`等Tensor，用teacher得到的结果指导student训练。具体实现可参考[代码](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/ppdet/slim/distill.py)
+为了确定蒸馏的对象，我们首先需要找到student和teacher网络得到的`x,y,w,h,cls,objness`等Tensor，用teacher得到的结果指导student训练。具体实现可参考[代码](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/ppdet/slim/distill.py)

 ## Citations
 ```

--- a/configs/sniper/README.md
+++ b/configs/sniper/README.md
@@ -6,8 +6,8 @@ English | [简体中文](README_cn.md)

 | Sniper   | GPU number    | images/GPU |    Model  |    Dataset     | Schedulers | Box AP |          Download                  | Config |
 | :---------------- | :-------------------: | :------------------: | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| w/o   |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)  |   1x    |  23.3  | [Download Link](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_visdrone.pdparams ) | [Config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sniper/faster_rcnn_r50_fpn_1x_sniper_coco.yml) |
-| w/ |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)   |   1x    |  29.7  | [Download Link](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_sniper_visdrone.pdparams) | [Config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sniper/faster_rcnn_r50_fpn_2x_sniper_coco.yml) |
+| w/o   |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)  |   1x    |  23.3  | [Download Link](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_visdrone.pdparams ) | [Config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/sniper/faster_rcnn_r50_fpn_1x_sniper_coco.yml) |
+| w/ |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)   |   1x    |  29.7  | [Download Link](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_sniper_visdrone.pdparams) | [Config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/sniper/faster_rcnn_r50_fpn_2x_sniper_coco.yml) |

 ### Note
 > Here, we use VisDrone dataset, and to detect 9 objects including `person, bicycles, car, van, truck, tricyle, awning-tricyle, bus, motor`.

--- a/configs/sniper/README_cn.md
+++ b/configs/sniper/README_cn.md
@@ -5,8 +5,8 @@
 ## 模型库
 | 有无sniper   | GPU个数    | 每张GPU图片个数 | 骨架网络             | 数据集     | 学习率策略 | Box AP |                           模型下载                          | 配置文件 |
 | :---------------- | :-------------------: | :------------------: | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| w/o sniper   |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)  |   1x    |  23.3  | [下载链接](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_visdrone.pdparams ) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sniper/faster_rcnn_r50_fpn_1x_sniper_coco.yml) |
-| w sniper |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)    |   1x    |  29.7  | [下载链接](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_sniper_visdrone.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sniper/faster_rcnn_r50_fpn_2x_sniper_coco.yml) |
+| w/o sniper   |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)  |   1x    |  23.3  | [下载链接](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_visdrone.pdparams ) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/sniper/faster_rcnn_r50_fpn_1x_sniper_coco.yml) |
+| w sniper |    4    |    1    | ResNet-r50-FPN      | [VisDrone](https://github.com/VisDrone/VisDrone-Dataset)    |   1x    |  29.7  | [下载链接](https://bj.bcebos.com/v1/paddledet/models/faster_rcnn_r50_fpn_1x_sniper_visdrone.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/sniper/faster_rcnn_r50_fpn_2x_sniper_coco.yml) |


 ### 注意

--- a/configs/solov2/README.md
+++ b/configs/solov2/README.md
@@ -19,9 +19,9 @@ SOLOv2 (Segmenting Objects by Locations) is a fast instance segmentation framewo
 | BlendMask | R50-FPN | True        |   3x    |     37.8        |  13.5  | V100 |   -  |  -  |
 | SOLOv2 (Paper) | R50-FPN | False        |   1x    |     34.8        |  18.5  | V100 |   -  |  -  |
 | SOLOv2 (Paper) | X101-DCN-FPN | True        |   3x    |     42.4        |  5.9  | V100 |   -  |  -  |
-| SOLOv2 | R50-FPN                 |  False                |   1x    |    35.5         |  21.9     | V100 |  [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r50_fpn_1x_coco.yml) |
-| SOLOv2 | R50-FPN                 |  True                |   3x    |     38.0         |   21.9    | V100 |  [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r50_fpn_3x_coco.yml) |
-| SOLOv2 | R101vd-FPN                 |  True                |   3x    |     42.7         |   12.1    | V100 |  [model](https://paddledet.bj.bcebos.com/models/solov2_r101_vd_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r101_vd_fpn_3x_coco.yml) |
+| SOLOv2 | R50-FPN                 |  False                |   1x    |    35.5         |  21.9     | V100 |  [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/solov2/solov2_r50_fpn_1x_coco.yml) |
+| SOLOv2 | R50-FPN                 |  True                |   3x    |     38.0         |   21.9    | V100 |  [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/solov2/solov2_r50_fpn_3x_coco.yml) |
+| SOLOv2 | R101vd-FPN                 |  True                |   3x    |     42.7         |   12.1    | V100 |  [model](https://paddledet.bj.bcebos.com/models/solov2_r101_vd_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/solov2/solov2_r101_vd_fpn_3x_coco.yml) |

 **Notes:**

@@ -30,7 +30,7 @@ SOLOv2 (Segmenting Objects by Locations) is a fast instance segmentation framewo
 ## Enhanced model
 | Backbone                | Input size  | Lr schd | V100 FP32(FPS) | Mask AP<sup>val</sup> |         Download                  | Configs |
 | :---------------------: | :-------------------: | :-----: | :------------: | :-----: | :---------: | :------------------------: |
-| Light-R50-VD-DCN-FPN          |  512     |   3x    |     38.6          |  39.0   | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_enhance_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r50_enhance_coco.yml) |
+| Light-R50-VD-DCN-FPN          |  512     |   3x    |     38.6          |  39.0   | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_enhance_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/solov2/solov2_r50_enhance_coco.yml) |

 **Optimizing method of enhanced model:**
 - Better backbone network: ResNet50vd-DCN

--- a/configs/ssd/README.md
+++ b/configs/ssd/README.md
@@ -6,8 +6,8 @@

 | 骨架网络        | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| VGG             | SSD            |    8    |   240e    |     ----     |  77.8  | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_vgg16_300_240e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_vgg16_300_240e_voc.yml) |
-| MobileNet v1    | SSD            |    32    |   120e    |     ----     |  73.8  | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) |
+| VGG             | SSD            |    8    |   240e    |     ----     |  77.8  | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_vgg16_300_240e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ssd/ssd_vgg16_300_240e_voc.yml) |
+| MobileNet v1    | SSD            |    32    |   120e    |     ----     |  73.8  | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) |

 **注意：** SSD-VGG使用4GPU在总batch size为32下训练240个epoch。SSD-MobileNetv1使用2GPU在总batch size为64下训练120周期。


--- a/configs/tood/README.md
+++ b/configs/tood/README.md
@@ -11,7 +11,7 @@ TOOD is an object detection model. We reproduced the model of the paper.

 | Backbone | Model | Images/GPU  | Inf time (fps) | Box AP | Config | Download |
 |:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:|
-| R-50 | TOOD  | 4 | --- | 42.8 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/tood/tood_r50_fpn_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/tood_r50_fpn_1x_coco.pdparams) |
+| R-50 | TOOD  | 4 | --- | 42.8 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/tood/tood_r50_fpn_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/tood_r50_fpn_1x_coco.pdparams) |

 **Notes:**


--- a/configs/ttfnet/README.md
+++ b/configs/ttfnet/README.md
@@ -13,7 +13,7 @@ TTFNet是一种用于实时目标检测且对训练时间友好的网络，对Ce

 | 骨架网络        | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| DarkNet53    | TTFNet           |    12    |   1x      |     ----     |  33.5  | [下载链接](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) |
+| DarkNet53    | TTFNet           |    12    |   1x      |     ----     |  33.5  | [下载链接](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) |



@@ -40,7 +40,7 @@ PAFNet系列模型从如下方面优化TTFNet模型：

 | 骨架网络        | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50vd   | PAFNet           |    18    |   10x      |     ----     |  39.8  | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_10x_coco.yml) |
+| ResNet50vd   | PAFNet           |    18    |   10x      |     ----     |  39.8  | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ttfnet/pafnet_10x_coco.yml) |



@@ -48,7 +48,7 @@ PAFNet系列模型从如下方面优化TTFNet模型：

 | 骨架网络        | 网络类型       | 每张GPU图片个数 | 学习率策略 | Box AP | 麒麟990延时（ms） | 体积（M）                          | 下载                          | 配置文件 |
 | :-------------- | :------------- | :-----: | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| MobileNetv3   |  PAFNet-Lite          |    12    |   20x     |     23.9    |  26.00   | 14 | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) |
+| MobileNetv3   |  PAFNet-Lite          |    12    |   20x     |     23.9    |  26.00   | 14 | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) |

 **注意：** 由于动态图框架整体升级，PAFNet的PaddleDetection发布的权重模型评估时需要添加--bias字段, 例如


--- a/configs/ttfnet/README_en.md
+++ b/configs/ttfnet/README_en.md
@@ -14,7 +14,7 @@ The training time is short. Based on DarkNet53 backbone network, V100 8 cards on

 | Backbone  | Network type | Number of images per GPU | Learning rate strategy | Inferring time(fps) | Box AP |                                     Download                                     |                                                       Configuration File                                                       |
 | :-------- | :----------- | :----------------------: | :--------------------: | :-----------------: | :----: | :------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------: |
-| DarkNet53 | TTFNet       |            12            |           1x           |        ----         |  33.5  | [link](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) |
+| DarkNet53 | TTFNet       |            12            |           1x           |        ----         |  33.5  | [link](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) |



@@ -41,7 +41,7 @@ PAFNet series models optimize TTFNet model from the following aspects:

 | Backbone   | Net type | Number of images per GPU | Learning rate strategy | Inferring time(fps) | Box AP |                                Download                                 |                                                  Configuration File                                                   |
 | :--------- | :------- | :----------------------: | :--------------------: | :-----------------: | :----: | :---------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------: |
-| ResNet50vd | PAFNet   |            18            |          10x           |        ----         |  39.8  | [link](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_10x_coco.yml) |
+| ResNet50vd | PAFNet   |            18            |          10x           |        ----         |  39.8  | [link](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ttfnet/pafnet_10x_coco.yml) |



@@ -49,7 +49,7 @@ PAFNet series models optimize TTFNet model from the following aspects:

 | Backbone    | Net type    | Number of images per GPU | Learning rate strategy | Box AP | kirin 990 delay（ms） | volume（M） |                                         Download                                          |                                                           Configuration File                                                            |
 | :---------- | :---------- | :----------------------: | :--------------------: | :----: | :-------------------: | :---------: | :---------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------: |
-| MobileNetv3 | PAFNet-Lite |            12            |          20x           |  23.9  |         26.00         |     14      | [link](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) |
+| MobileNetv3 | PAFNet-Lite |            12            |          20x           |  23.9  |         26.00         |     14      | [link](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) |

 **Attention:** Due to the overall upgrade of the dynamic graph framework, the weighting model published by PaddleDetection of PAF Net needs to be evaluated with a --bias field, for example


--- a/configs/vehicle/README.md
+++ b/configs/vehicle/README.md
@@ -5,7 +5,7 @@ We provide some models implemented by PaddlePaddle to detect objects in specific

 | Task                 | Algorithm | Box AP | Download                                                                                | Configs |
 |:---------------------|:---------:|:------:| :-------------------------------------------------------------------------------------: |:------:|
-| Vehicle Detection    |  YOLOv3  |  54.5  | [model](https://paddledet.bj.bcebos.com/models/vehicle_yolov3_darknet.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vehicle/vehicle_yolov3_darknet.yml) |
+| Vehicle Detection    |  YOLOv3  |  54.5  | [model](https://paddledet.bj.bcebos.com/models/vehicle_yolov3_darknet.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/vehicle/vehicle_yolov3_darknet.yml) |

 ## Vehicle Detection

@@ -17,7 +17,7 @@ The network for detecting vehicles is YOLOv3, the backbone of which is Dacknet53

 ### 2. Configuration for training

-PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for vehicle detection:
+PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for vehicle detection:

 * num_classes: 6
 * anchors: [[8, 9], [10, 23], [19, 15], [23, 33], [40, 25], [54, 50], [101, 80], [139, 145], [253, 224]]

--- a/configs/vehicle/README_cn.md
+++ b/configs/vehicle/README_cn.md
@@ -5,7 +5,7 @@

 | 任务                 | 算法 | 精度(Box AP) | 下载                                                                                | 配置文件 |
 |:---------------------|:---------:|:------:| :---------------------------------------------------------------------------------: | :------:|
-| 车辆检测    |  YOLOv3  |  54.5  | [下载链接](https://paddledet.bj.bcebos.com/models/vehicle_yolov3_darknet.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vehicle/vehicle_yolov3_darknet.yml) |
+| 车辆检测    |  YOLOv3  |  54.5  | [下载链接](https://paddledet.bj.bcebos.com/models/vehicle_yolov3_darknet.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/vehicle/vehicle_yolov3_darknet.yml) |


 ## 车辆检测（Vehicle Detection）
@@ -18,7 +18,7 @@ Backbone为Dacknet53的YOLOv3。

 ### 2. 训练参数配置

-PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行车辆检测的模型训练时，我们对以下参数进行了修改：
+PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行车辆检测的模型训练时，我们对以下参数进行了修改：

 * num_classes: 6
 * anchors: [[8, 9], [10, 23], [19, 15], [23, 33], [40, 25], [54, 50], [101, 80], [139, 145], [253, 224]]

--- a/configs/yolov3/README.md
+++ b/configs/yolov3/README.md
@@ -9,41 +9,41 @@
 | DarkNet53(paper)  | 608         |    8    |   270e    |     ----     |  33.0  |    -   |    -   |
 | DarkNet53(paper)  | 416         |    8    |   270e    |     ----     |  31.0  |    -   |    -   |
 | DarkNet53(paper)  | 320         |    8    |   270e    |     ----     |  28.2  |    -   |    -   |
-| DarkNet53         | 608         |    8    |   270e    |     ----     |  39.0  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
-| DarkNet53         | 416         |    8    |   270e    |     ----     |  37.5  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
-| DarkNet53         | 320         |    8    |   270e    |     ----     |  34.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
-|   ResNet50_vd        | 608        |    8    |   270e    |     ----     |  39.1  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_r50vd_dcn_270e_coco.yml) |
-|   ResNet50_vd        | 416        |    8    |   270e    |     ----     |  36.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_r50vd_dcn_270e_coco.yml) |
-|   ResNet50_vd        | 320        |    8    |   270e    |     ----     |  33.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_r50vd_dcn_270e_coco.yml) |
-| ResNet34         | 608         |    8    |   270e    |     ----     |  36.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_r34_270e_coco.yml) |
-| ResNet34         | 416         |    8    |   270e    |     ----     |  34.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_r34_270e_coco.yml) |
-| ResNet34         | 320         |    8    |   270e    |     ----     |  31.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_r34_270e_coco.yml) |
-| MobileNet-V1         | 608         |    8    |   270e    |     ----     |  29.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
-| MobileNet-V1         | 416         |    8    |   270e    |     ----     |  29.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
-| MobileNet-V1         | 320         |    8    |   270e    |     ----     |  27.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
-| MobileNet-V3         | 608         |    8    |   270e    |     ----     |  31.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
-| MobileNet-V3         | 416         |    8    |   270e    |     ----     |  29.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
-| MobileNet-V3         | 320         |    8    |   270e    |     ----     |  27.1  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
-| MobileNet-V1-SSLD    | 608         |    8    |   270e    |     ----     |  31.0  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
-| MobileNet-V1-SSLD    | 416         |    8    |   270e    |     ----     |  30.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
-| MobileNet-V1-SSLD    | 320         |    8    |   270e    |     ----     |  28.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
+| DarkNet53         | 608         |    8    |   270e    |     ----     |  39.0  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
+| DarkNet53         | 416         |    8    |   270e    |     ----     |  37.5  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
+| DarkNet53         | 320         |    8    |   270e    |     ----     |  34.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
+|   ResNet50_vd        | 608        |    8    |   270e    |     ----     |  39.1  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_r50vd_dcn_270e_coco.yml) |
+|   ResNet50_vd        | 416        |    8    |   270e    |     ----     |  36.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_r50vd_dcn_270e_coco.yml) |
+|   ResNet50_vd        | 320        |    8    |   270e    |     ----     |  33.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_r50vd_dcn_270e_coco.yml) |
+| ResNet34         | 608         |    8    |   270e    |     ----     |  36.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_r34_270e_coco.yml) |
+| ResNet34         | 416         |    8    |   270e    |     ----     |  34.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_r34_270e_coco.yml) |
+| ResNet34         | 320         |    8    |   270e    |     ----     |  31.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_r34_270e_coco.yml) |
+| MobileNet-V1         | 608         |    8    |   270e    |     ----     |  29.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
+| MobileNet-V1         | 416         |    8    |   270e    |     ----     |  29.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
+| MobileNet-V1         | 320         |    8    |   270e    |     ----     |  27.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
+| MobileNet-V3         | 608         |    8    |   270e    |     ----     |  31.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
+| MobileNet-V3         | 416         |    8    |   270e    |     ----     |  29.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
+| MobileNet-V3         | 320         |    8    |   270e    |     ----     |  27.1  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
+| MobileNet-V1-SSLD    | 608         |    8    |   270e    |     ----     |  31.0  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
+| MobileNet-V1-SSLD    | 416         |    8    |   270e    |     ----     |  30.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
+| MobileNet-V1-SSLD    | 320         |    8    |   270e    |     ----     |  28.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |

 ### YOLOv3 on Pasacl VOC

 | 骨架网络     | 输入尺寸 | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | 下载 | 配置文件 |
 | :----------- | :--: | :-----: | :-----: |:------------: |:----: | :-------: | :----: |
-| MobileNet-V1 | 608  |    8    |   270e  |      -        |  75.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
-| MobileNet-V1 | 416  |    8    |   270e  |      -        |  76.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
-| MobileNet-V1 | 320  |    8    |   270e  |      -        |  74.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
-| MobileNet-V3 | 608  |    8    |   270e  |      -        |  79.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
-| MobileNet-V3 | 416  |    8    |   270e  |      -        |  78.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
-| MobileNet-V3 | 320  |    8    |   270e  |      -        |  76.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
-| MobileNet-V1-SSLD | 608  |    8    |   270e  |      -        |  78.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
-| MobileNet-V1-SSLD | 416  |    8    |   270e  |      -        |  79.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
-| MobileNet-V1-SSLD | 320  |    8    |   270e  |      -        |  77.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
-| MobileNet-V3-SSLD | 608  |    8    |   270e  |      -        |  80.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |
-| MobileNet-V3-SSLD | 416  |    8    |   270e  |      -        |  79.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |
-| MobileNet-V3-SSLD | 320  |    8    |   270e  |      -        |  77.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |
+| MobileNet-V1 | 608  |    8    |   270e  |      -        |  75.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
+| MobileNet-V1 | 416  |    8    |   270e  |      -        |  76.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
+| MobileNet-V1 | 320  |    8    |   270e  |      -        |  74.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
+| MobileNet-V3 | 608  |    8    |   270e  |      -        |  79.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
+| MobileNet-V3 | 416  |    8    |   270e  |      -        |  78.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
+| MobileNet-V3 | 320  |    8    |   270e  |      -        |  76.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
+| MobileNet-V1-SSLD | 608  |    8    |   270e  |      -        |  78.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
+| MobileNet-V1-SSLD | 416  |    8    |   270e  |      -        |  79.6  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
+| MobileNet-V1-SSLD | 320  |    8    |   270e  |      -        |  77.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
+| MobileNet-V3-SSLD | 608  |    8    |   270e  |      -        |  80.4  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |
+| MobileNet-V3-SSLD | 416  |    8    |   270e  |      -        |  79.2  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |
+| MobileNet-V3-SSLD | 320  |    8    |   270e  |      -        |  77.3  | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |

 **注意：** YOLOv3均使用8GPU训练，训练270个epoch。由于动态图框架整体升级，以下几个PaddleDetection发布的权重模型评估时需要添加--bias字段, 例如


--- a/docs/CHANGELOG.md
+++ b/docs/CHANGELOG.md
@@ -17,7 +17,7 @@
    - 发布针对EdgeBoard优化的PP-YOLO-EB模型

  - 跟踪
-    - 发布fairmot 高精度模型、小尺度模型和轻量级模型
+    - 发布FairMOT高精度模型、小尺度模型和轻量级模型
    - 发布行人、人头和车辆实跟踪垂类模型库，覆盖航拍监控、自动驾驶、密集人群、极小目标等场景
    - DeepSORT模型适配PP-YOLO, PP-PicoDet等更多检测器


--- a/docs/tutorials/INSTALL.md
+++ b/docs/tutorials/INSTALL.md
@@ -22,6 +22,8 @@ Dependency of PaddleDetection and PaddlePaddle:

 | PaddleDetection version | PaddlePaddle version  |    tips    |
 | :----------------: | :---------------: | :-------: |
+|    develop           |       >= 2.2.0rc |     Dygraph mode is set as default    |
+|    release/2.3       |       >= 2.2.0rc |     Dygraph mode is set as default    |
 |    release/2.2       |       >= 2.1.2   |     Dygraph mode is set as default    |
 |    release/2.1       |       >= 2.1.0   |     Dygraph mode is set as default    |
 |    release/2.0       |       >= 2.0.1    |     Dygraph mode is set as default    |

--- a/docs/tutorials/INSTALL_cn.md
+++ b/docs/tutorials/INSTALL_cn.md
@@ -18,6 +18,8 @@ PaddleDetection 依赖 PaddlePaddle 版本关系：

 |  PaddleDetection版本  | PaddlePaddle版本  |    备注    |
 | :------------------: | :---------------: | :-------: |
+|    develop           |       >= 2.2.0rc  |     默认使用动态图模式    |
+|    release/2.3       |       >= 2.2.0rc  |     默认使用动态图模式    |
 |    release/2.2       |       >= 2.1.2    |     默认使用动态图模式    |
 |    release/2.1       |       >= 2.1.0    |     默认使用动态图模式    |
 |    release/2.0       |       >= 2.0.1    |     默认使用动态图模式    |

--- a/setup.py
+++ b/setup.py
@@ -21,7 +21,7 @@ from setuptools import find_packages, setup

 # ==============  version definition  ==============

-PPDET_VERSION = "2.2.0"
+PPDET_VERSION = "2.3.0"


 def parse_version():