diff --git a/docs/featured_model/YOLOv3_ENHANCEMENT.md b/docs/featured_model/YOLOv3_ENHANCEMENT.md
index 78694af6f9dfab7d92f9fa5c9de5a779d23a80d8..20d746b6dffb077405a4f86e214acbc7bfb7141b 100644
--- a/docs/featured_model/YOLOv3_ENHANCEMENT.md
+++ b/docs/featured_model/YOLOv3_ENHANCEMENT.md
@@ -44,5 +44,5 @@ python tools/train.py -c configs/dcn/yolov3_r50vd_dcn_iouloss_obj365_pretrained_
 |              YOLOv3 DarkNet              | [DarkNet pretrain](https://paddle-imagenet-models-name.bj.bcebos.com/DarkNet53_pretrained.tar) |    38.9    | 原生：88.3ms<br>tensorRT-FP32: 42.5ms  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_darknet.tar) |
 |          YOLOv3 ResNet50_vd DCN          | [ImageNet pretrain](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar) |    39.1    | 原生：74.4ms<br>tensorRT-FP32: 35.2ms  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_imagenet.tar) |
 |          YOLOv3 ResNet50_vd DCN          | [Object365 pretrain](https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar) |    42.5    | 原生：74.4ms<br>tensorRT-FP32: 35.2ms  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_obj365_v2.tar) |
-|     YOLOv3 ResNet50_vd DCN DropBlock     | [Object365 pretrain](https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar) |    42.8    | 原生：74.4ms<br/>tensorRT-FP32: 35.2ms | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_db_obj365.tar) |
-| YOLOv3 ResNet50_vd DCN DropBlock IoULoss | [Object365 pretrain](https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar) |    43.2    | 原生：74.4ms<br/>tensorRT-FP32: 35.2ms | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_db_obj365.tar) |
+|     YOLOv3 ResNet50_vd DCN DropBlock     | [Object365 pretrain](https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar) |    42.8    | 原生：74.4ms<br/>tensorRT-FP32: 35.2ms | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_obj365_dropblock.tar) |
+| YOLOv3 ResNet50_vd DCN DropBlock IoULoss | [Object365 pretrain](https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar) |    43.2    | 原生：74.4ms<br/>tensorRT-FP32: 35.2ms | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r50vd_dcn_obj365_dropblock_iouloss.tar) |