diff --git a/docs/model_zoo.md b/docs/model_zoo.md
index 8cd89fa41d6b7fc88759cf1250d88ec067755a6c..0ebaf8b26f0af77782a8581e1f82f9d414ab3b08 100644
--- a/docs/model_zoo.md
+++ b/docs/model_zoo.md
@@ -37,6 +37,7 @@ PaddleSeg对所有内置的分割模型都提供了公开数据集下的预训
 |---|---|---|---|
 | ResNet50（适配PSPNet） | ImageNet | [resnet50_v2_pspnet](https://paddleseg.bj.bcebos.com/resnet50_v2_pspnet.tgz)| -- |
 | ResNet101（适配PSPNet） | ImageNet | [resnet101_v2_pspnet](https://paddleseg.bj.bcebos.com/resnet101_v2_pspnet.tgz)| -- |
+| ResNet50_vd | ImageNet | [ResNet50_vd_ssld_pretrained.tgz](https://paddleseg.bj.bcebos.com/models/ResNet50_vd_ssld_pretrained.tgz) | 83.0%/96.4% |
 
 ## COCO预训练模型
 
@@ -58,7 +59,8 @@ train数据集合为Cityscapes训练集合，测试为Cityscapes的验证集合
 |---|---|---|---|---|---|
 | DeepLabv3+/MobileNetv2/bn | Cityscapes |[mobilenet_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/mobilenet_cityscapes.tgz) |16|false| 0.698|
 | DeepLabv3+/Xception65/gn  | Cityscapes |[deeplabv3p_xception65_gn_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_xception65_cityscapes.tgz) |16|false| 0.7824 |
-| DeepLabv3+/Xception65/bn | Cityscapes |[deeplabv3p_xception65_bn_cityscapes_.tgz](https://paddleseg.bj.bcebos.com/models/xception65_bn_cityscapes.tgz) | 16 | false | 0.7930 |
+| DeepLabv3+/Xception65/bn | Cityscapes |[deeplabv3p_xception65_bn_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/xception65_bn_cityscapes.tgz) | 16 | false | 0.7930 |
+| DeepLabv3+/ResNet50_vd/bn | Cityscapes |[deeplabv3p_resnet50_vd_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_resnet50_vd_cityscapes.tgz) | 16 | false | 0.8006 |
 | ICNet/bn | Cityscapes |[icnet_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/icnet_cityscapes.tar.gz) |16|false| 0.6831 |
 | PSPNet/bn | Cityscapes |[pspnet50_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/pspnet50_cityscapes.tgz) |16|false| 0.7013 |
 | PSPNet/bn | Cityscapes |[pspnet101_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/pspnet101_cityscapes.tgz) |16|false| 0.7734 |
diff --git a/pretrained_model/download_model.py b/pretrained_model/download_model.py
index 17bbc7bdee8cfe9b0707dfaafa402cc65d9e0d6a..e4eff8d3ee0c156bbb38d4a5a38804f16412730a 100644
--- a/pretrained_model/download_model.py
+++ b/pretrained_model/download_model.py
@@ -42,6 +42,8 @@ model_urls = {
     "https://paddleseg.bj.bcebos.com/models/Xception41_pretrained.tgz",
     "xception65_imagenet":
     "https://paddleseg.bj.bcebos.com/models/Xception65_pretrained.tgz",
+    "resnet50_vd_imagenet":
+    "https://paddleseg.bj.bcebos.com/models/ResNet50_vd_ssld_pretrained.tgz",
     "hrnet_w18_bn_imagenet":
     "https://paddleseg.bj.bcebos.com/models/hrnet_w18_imagenet.tar",
     "hrnet_w30_bn_imagenet":
@@ -76,6 +78,8 @@ model_urls = {
     "https://paddleseg.bj.bcebos.com/models/deeplabv3p_xception65_cityscapes.tgz",
     "deeplabv3p_xception65_bn_cityscapes":
     "https://paddleseg.bj.bcebos.com/models/xception65_bn_cityscapes.tgz",
+    "deeplabv3p_resnet50_vd_cityscapes":
+    "https://paddleseg.bj.bcebos.com/models/deeplabv3p_resnet50_vd_cityscapes.tgz",
     "unet_bn_coco":
     "https://paddleseg.bj.bcebos.com/models/unet_coco_v3.tgz",
     "icnet_bn_cityscapes":
diff --git a/turtorial/finetune_deeplabv3plus.md b/turtorial/finetune_deeplabv3plus.md
index d254ce5eb6e7cbe62b64deac78e003a04fe027bf..b7bcede3be458349a847cbb35e4bf3f9458bd1b1 100644
--- a/turtorial/finetune_deeplabv3plus.md
+++ b/turtorial/finetune_deeplabv3plus.md
@@ -145,8 +145,10 @@ PaddleSeg在AI Studio平台上提供了在线体验的DeepLabv3+图像分割教
 |mobilenetv2-0-25_bn_imagenet|MobileNetV2|bn|ImageNet|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenetv2 <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 0.25 <br> MODEL.DEFAULT_NORM_TYPE: bn|
 |xception41_imagenet|Xception41|bn|ImageNet|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_41 <br> MODEL.DEFAULT_NORM_TYPE: bn|
 |xception65_imagenet|Xception65|bn|ImageNet|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn|
+|ResNet50_vd_ssld_pretrained|ResNet50_vd|bn|ImageNet|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: resnet50_vd <br> MODEL.DEFAULT_NORM_TYPE: bn|
 |deeplabv3p_mobilenetv2-1-0_bn_coco|MobileNetV2|bn|COCO|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenetv2 <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0 <br> MODEL.DEEPLAB.ENCODER_WITH_ASPP: False <br> MODEL.DEEPLAB.ENABLE_DECODER: False <br> MODEL.DEFAULT_NORM_TYPE: bn|
 |**deeplabv3p_xception65_bn_coco**|Xception65|bn|COCO|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn |
 |deeplabv3p_mobilenetv2-1-0_bn_cityscapes|MobileNetV2|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenetv2 <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0 <br> MODEL.DEEPLAB.ENCODER_WITH_ASPP: False <br> MODEL.DEEPLAB.ENABLE_DECODER: False <br> MODEL.DEFAULT_NORM_TYPE: bn|
 |deeplabv3p_xception65_gn_cityscapes|Xception65|gn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br>  MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: gn|
 |deeplabv3p_xception65_bn_cityscapes|Xception65|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn|
+|deeplabv3p_resnet50_vd_cityscapes|resnet50_vd|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: resnet50_vd <br> MODEL.DEFAULT_NORM_TYPE: bn|