diff --git a/README.md b/README.md
index 067fae9369edc90cbf3f70691187717c18b2f97d..4a321028627954b035cfe49f7c385f5c160248ed 100644
--- a/README.md
+++ b/README.md
@@ -49,6 +49,7 @@ PaddleSeg支持多进程IO、多卡并行、跨卡Batch Norm同步等训练加
 * [如何训练DeepLabv3+](./turtorial/finetune_deeplabv3plus.md)
 * [如何训练U-Net](./turtorial/finetune_unet.md)
 * [如何训练ICNet](./turtorial/finetune_icnet.md)
+* [如何训练PSPNet](./turtorial/finetune_pspnet.md)
 
 ### 预测部署
 
diff --git a/turtorial/finetune_pspnet.md b/turtorial/finetune_pspnet.md
index 85279a2a4744d6a77911a0df0a0a49db0ec82ee0..e15e23cb1f27fc0811c6e5bdaa839e66dde7bc8f 100644
--- a/turtorial/finetune_pspnet.md
+++ b/turtorial/finetune_pspnet.md
@@ -117,5 +117,5 @@ python pdseg/eval.py --use_gpu --cfg ./configs/test_pet.yaml
 
 |预训练模型名称|BackBone|Norm|数据集|配置|
 |-|-|-|-|-|
-|pspnet50_cityscapes|-|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 50|
-|pspnet101_cityscapes|-|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 101|
+|pspnet50_cityscapes|ResNet50|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 50|
+|pspnet101_cityscapes|ResNet101|bn|Cityscapes|MODEL.MODEL_NAME: pspnet <br> MODEL.DEFAULT_NORM_TYPE: bn <br> MODEL.PSPNET.LAYERS: 101|