move ssld model (#2633)

* move ssld model, test=document_fix

* fix typo, test=document_fix

configs/cascade_rcnn/README.md

@@ -6,6 +6,10 @@
 | :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
 | 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) |
 
 **注意：** Cascade R-CNN模型精度依赖Paddle develop分支修改，精度复现须使用[每日版本](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev)或2.0.1版本(将于2021.03发布)，使用Paddle 2.0.0版本会有少量精度损失。
 

configs/ssld/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml → configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml

 _BASE_: [
   '../datasets/coco_instance.yml',
   '../runtime.yml',
-  '../cascade_rcnn/_base_/optimizer_1x.yml',
-  '../cascade_rcnn/_base_/cascade_mask_rcnn_r50_fpn.yml',
-  '../cascade_rcnn/_base_/cascade_mask_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/cascade_mask_rcnn_r50_fpn.yml',
+  '_base_/cascade_mask_fpn_reader.yml',
 ]
 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco/model_final

configs/ssld/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml → configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml

 _BASE_: [
   '../datasets/coco_instance.yml',
   '../runtime.yml',
-  '../cascade_rcnn/_base_/optimizer_1x.yml',
-  '../cascade_rcnn/_base_/cascade_mask_rcnn_r50_fpn.yml',
-  '../cascade_rcnn/_base_/cascade_mask_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/cascade_mask_rcnn_r50_fpn.yml',
+  '_base_/cascade_mask_fpn_reader.yml',
 ]
 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco/model_final

configs/ssld/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml → configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml

 _BASE_: [
   '../datasets/coco_detection.yml',
   '../runtime.yml',
-  '../cascade_rcnn/_base_/optimizer_1x.yml',
-  '../cascade_rcnn/_base_/cascade_rcnn_r50_fpn.yml',
-  '../cascade_rcnn/_base_/cascade_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/cascade_rcnn_r50_fpn.yml',
+  '_base_/cascade_fpn_reader.yml',
 ]
 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/cascade_rcnn_r50_vd_fpn_ssld_1x_coco/model_final

configs/ssld/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml → configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml

 _BASE_: [
   '../datasets/coco_detection.yml',
   '../runtime.yml',
-  '../cascade_rcnn/_base_/optimizer_1x.yml',
-  '../cascade_rcnn/_base_/cascade_rcnn_r50_fpn.yml',
-  '../cascade_rcnn/_base_/cascade_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/cascade_rcnn_r50_fpn.yml',
+  '_base_/cascade_fpn_reader.yml',
 ]
 pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/cascade_rcnn_r50_vd_fpn_ssld_2x_coco/model_final

configs/faster_rcnn/README.md

@@ -18,6 +18,8 @@
 | 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) |
 
 **注意：** Faster R-CNN模型精度依赖Paddle develop分支修改，精度复现须使用[每日版本](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev)或2.0.1版本(将于2021.03发布)，使用Paddle 2.0.0版本会有少量精度损失。
 

configs/ssld/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml → configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml

 _BASE_: [
   '../datasets/coco_detection.yml',
   '../runtime.yml',
-  '../faster_rcnn/_base_/optimizer_1x.yml',
-  '../faster_rcnn/_base_/faster_rcnn_r50_fpn.yml',
-  '../faster_rcnn/_base_/faster_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/faster_rcnn_r50_fpn.yml',
+  '_base_/faster_fpn_reader.yml',
 ]
 pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/faster_rcnn_r50_vd_fpn_ssld_1x_coco/model_final

configs/ssld/faster_rcnn_r50_vd_fpn_ssld_2x_coco.yml → configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_2x_coco.yml

 _BASE_: [
   '../datasets/coco_detection.yml',
   '../runtime.yml',
-  '../faster_rcnn/_base_/optimizer_1x.yml',
-  '../faster_rcnn/_base_/faster_rcnn_r50_fpn.yml',
-  '../faster_rcnn/_base_/faster_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/faster_rcnn_r50_fpn.yml',
+  '_base_/faster_fpn_reader.yml',
 ]
 pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/faster_rcnn_r50_vd_fpn_ssld_2x_coco/model_final

configs/mask_rcnn/README.md

@@ -14,6 +14,8 @@
 | 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) |
 
 **注意：** Mask R-CNN模型精度依赖Paddle develop分支修改，精度复现须使用[每日版本](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev)或2.0.1版本(将于2021.03发布)，使用Paddle 2.0.0版本会有少量精度损失。
 

configs/ssld/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml → configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml

 _BASE_: [
   '../datasets/coco_instance.yml',
   '../runtime.yml',
-  '../mask_rcnn/_base_/optimizer_1x.yml',
-  '../mask_rcnn/_base_/mask_rcnn_r50_fpn.yml',
-  '../mask_rcnn/_base_/mask_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/mask_rcnn_r50_fpn.yml',
+  '_base_/mask_fpn_reader.yml',
 ]
 pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/mask_rcnn_r50_vd_fpn_ssld_1x_coco/model_final

configs/ssld/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml → configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml

 _BASE_: [
   '../datasets/coco_instance.yml',
   '../runtime.yml',
-  '../mask_rcnn/_base_/optimizer_1x.yml',
-  '../mask_rcnn/_base_/mask_rcnn_r50_fpn.yml',
-  '../mask_rcnn/_base_/mask_fpn_reader.yml',
+  '_base_/optimizer_1x.yml',
+  '_base_/mask_rcnn_r50_fpn.yml',
+  '_base_/mask_fpn_reader.yml',
 ]
 pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
 weights: output/mask_rcnn_r50_vd_fpn_ssld_2x_coco/model_final

configs/ssld/README.md

-### Simple semi-supervised label knowledge distillation solution (SSLD)
-
-## Model Zoo
-
-| 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      | 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/ssld/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-FPN      | Faster         |    1    |   2x    |     ----     |  42.3  |  -  | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssld/faster_rcnn_r50_vd_ssld_fpn_2x_coco.yml) |
-| ResNet50-vd-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/ssld/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-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/ssld/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
-| ResNet50-vd-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/ssld/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-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/ssld/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
-| ResNet50-vd-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/ssld/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) |
-| ResNet50-vd-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/ssld/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
-
-
-**注意事项:**  
-
-- [SSLD](https://arxiv.org/abs/1811.11168)是一种知识蒸馏方法，我们使用蒸馏后性能更强的backbone预训练模型，进一步提升检测精度，详细方案请参考[知识蒸馏教程](https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/en/advanced_tutorials/distillation/distillation_en.md)
-
-![demo image](../../docs/images/ssld_model.png)
-
-## Citations
-```
-@misc{cui2021selfsupervision,
-      title={Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones},
-      author={Cheng Cui and Ruoyu Guo and Yuning Du and Dongliang He and Fu Li and Zewu Wu and Qiwen Liu and Shilei Wen and Jizhou Huang and Xiaoguang Hu and Dianhai Yu and Errui Ding and Yanjun Ma},
-      year={2021},
-      eprint={2103.05959},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV}
-}
-```

configs/yolov3/README.md

@@ -22,6 +22,9 @@
 | 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    |     ----     |  29.7  | [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    |     ----     |  26.9  | [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) |
 
 ### YOLOv3 on Pasacl VOC
 
@@ -33,6 +36,12 @@
 | 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) |
 
 **注意：** YOLOv3均使用8GPU训练，训练270个epoch
 

configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  '_base_/optimizer_270e.yml',
+  '_base_/yolov3_mobilenet_v1.yml',
+  '_base_/yolov3_reader.yml',
+]
+
+snapshot_epoch: 5
+pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV1_ssld_pretrained.pdparams
+weights: output/yolov3_mobilenet_v1_ssld_270e_coco/model_final

configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  '_base_/optimizer_270e.yml',
+  '_base_/yolov3_mobilenet_v1.yml',
+  '_base_/yolov3_reader.yml',
+]
+
+snapshot_epoch: 5
+pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV1_ssld_pretrained.pdparams
+weights: output/yolov3_mobilenet_v1_ssld_270e_voc/model_final
+
+TrainReader:
+  inputs_def:
+    num_max_boxes: 50
+  sample_transforms:
+    - Decode: {}
+    - Mixup: {alpha: 1.5, beta: 1.5}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize:
+        target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608]
+        random_size: True
+        random_interp: True
+        keep_ratio: False
+    - NormalizeBox: {}
+    - PadBox: {num_max_boxes: 50}
+    - BboxXYXY2XYWH: {}
+    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+    - Permute: {}
+    - Gt2YoloTarget:
+        anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
+        anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]]
+        downsample_ratios: [32, 16, 8]
+        num_classes: 20
+  batch_size: 8
+  shuffle: true
+  drop_last: true
+  mixup_epoch: 250
+
+LearningRate:
+  base_lr: 0.001
+  schedulers:
+  - !PiecewiseDecay
+    gamma: 0.1
+    milestones:
+    - 216
+    - 243
+  - !LinearWarmup
+    start_factor: 0.
+    steps: 1000

configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  '_base_/optimizer_270e.yml',
+  '_base_/yolov3_mobilenet_v3_large.yml',
+  '_base_/yolov3_reader.yml',
+]
+
+snapshot_epoch: 5
+pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams
+weights: output/yolov3_mobilenet_v3_large_ssld_270e_voc/model_final
+
+TrainReader:
+  inputs_def:
+    num_max_boxes: 50
+  sample_transforms:
+    - Decode: {}
+    - Mixup: {alpha: 1.5, beta: 1.5}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize:
+        target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608]
+        random_size: True
+        random_interp: True
+        keep_ratio: False
+    - NormalizeBox: {}
+    - PadBox: {num_max_boxes: 50}
+    - BboxXYXY2XYWH: {}
+    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+    - Permute: {}
+    - Gt2YoloTarget:
+        anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
+        anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]]
+        downsample_ratios: [32, 16, 8]
+        num_classes: 20
+  batch_size: 8
+  shuffle: true
+  drop_last: true
+  mixup_epoch: 250
+
+LearningRate:
+  base_lr: 0.001
+  schedulers:
+  - !PiecewiseDecay
+    gamma: 0.1
+    milestones:
+    - 216
+    - 243
+  - !LinearWarmup
+    start_factor: 0.
+    steps: 1000

docs/feature_models/SSLD_PRETRAINED_MODEL.md

+简体中文 | [English](SSLD_PRETRAINED_MODEL_en.md)
+
+### Simple semi-supervised label knowledge distillation solution (SSLD)
+
+### R-CNN on COCO
+
+| 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-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_fpn_ssld_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) |
+| 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-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) |
+
+
+### YOLOv3 on COCO
+
+| 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-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) |
+
+### 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-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) |
+
+**注意事项:**  
+
+- [SSLD](https://arxiv.org/abs/1811.11168)是一种知识蒸馏方法，我们使用蒸馏后性能更强的backbone预训练模型，进一步提升检测精度，详细方案请参考[知识蒸馏教程](https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/en/advanced_tutorials/distillation/distillation_en.md)
+
+![demo image](../images/ssld_model.png)
+
+## Citations
+```
+@misc{cui2021selfsupervision,
+      title={Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones},
+      author={Cheng Cui and Ruoyu Guo and Yuning Du and Dongliang He and Fu Li and Zewu Wu and Qiwen Liu and Shilei Wen and Jizhou Huang and Xiaoguang Hu and Dianhai Yu and Errui Ding and Yanjun Ma},
+      year={2021},
+      eprint={2103.05959},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```

docs/feature_models/SSLD_PRETRAINED_MODEL_en.md

+English | [简体中文](SSLD_PRETRAINED_MODEL.md)
+
+### Simple semi-supervised label knowledge distillation solution (SSLD)
+
+### R-CNN on COCO
+
+| Backbone              |  Model       | Images/GPU | Lr schd | FPS | Box AP | Mask AP |                           Download                           | Config |
+| :------------------- | :------------| :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
+| ResNet50-vd-SSLDv2-FPN      | Faster         |    1    |   1x    |     ----     |  41.4  |  -  | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](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  |  -  | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_ssld_fpn_2x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN         | Mask         |    1    |   1x    |     ----     |  42.0  |    38.2   | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](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   | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
+| ResNet50-vd-SSLDv2-FPN         | Cascade Faster         |    1    |   1x    |     ----     |  44.4  |    -    | [model](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](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  |    -    | [model](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](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    | [model](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](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    | [model](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) |
+
+### YOLOv3 on COCO
+
+| Backbone            |   Input shape   | Images/GPU | Lr schd | FPS | Box AP |                          Download                           | Config |
+| :----------------- | :-------- | :-----------: | :------: | :---------: | :----: | :----------------------------------------------------: | :-----: |
+| MobileNet-V1-SSLD         | 608         |    8    |   270e    |     ----     |  31.0  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
+| MobileNet-V1-SSLD         | 416         |    8    |   270e    |     ----     |  30.6  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
+| MobileNet-V1-SSLD         | 320         |    8    |   270e    |     ----     |  28.4  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) |
+
+### YOLOv3 on Pasacl VOC
+
+| Backbone            |   Input shape   | Images/GPU | Lr schd | FPS | Box AP |                          Download                           | Config |
+| :----------------- | :-------- | :-----------: | :------: | :---------: | :----: | :----------------------------------------------------: | :-----: |
+| MobileNet-V1-SSLD | 608  |    8    |   270e  |      -        |  78.3  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
+| MobileNet-V1-SSLD | 416  |    8    |   270e  |      -        |  79.6  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
+| MobileNet-V1-SSLD | 320  |    8    |   270e  |      -        |  77.3  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) |
+| MobileNet-V3-SSLD | 608  |    8    |   270e  |      -        |  80.4  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](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  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](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  | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) |
+
+**Notes:**
+
+- [SSLD](https://arxiv.org/abs/1811.11168) is a knowledge distillation method. We use the stronger backbone pretrained model after distillation to further improve the detection accuracy. Please refer to the [knowledge distillation tutorial](https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/en/advanced_tutorials/distillation/distillation_en.md).
+
+![demo image](../images/ssld_model.png)
+
+## Citations
+```
+@misc{cui2021selfsupervision,
+      title={Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones},
+      author={Cheng Cui and Ruoyu Guo and Yuning Du and Dongliang He and Fu Li and Zewu Wu and Qiwen Liu and Shilei Wen and Jizhou Huang and Xiaoguang Hu and Dianhai Yu and Errui Ding and Yanjun Ma},
+      year={2021},
+      eprint={2103.05959},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```