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model_zoo_overview_cn.md 2.48 KB

简体中文 | [English](model_zoo_overview.md)

# 模型库

## 语义分割模型库

目前，PaddleSeg提供了45+语义分割模型、150+预训练模型、10+骨干网络。

在[`PaddleSeg/configs`](../configs)目录下，我们给出了所有模型在公开数据集上的配置文件和README文件，比如[PP-LiteSeg模型](../configs/pp_liteseg/)。

其中，README文件介绍了模型论文和训练精度，而且给出了公开数据集上训练的权重，可以直接下载进行测试。

如下我们列出了部分模型。

**CNN系列**

|模型\骨干网络|ResNet50|ResNet101|HRNetw18|HRNetw48|
|-|-|-|-|-|
|[ANN](../configs/ann)|✔|✔|||
|[BiSeNetv2](../configs/bisenet)|-|-|-|-|
|[DANet](../configs/danet)|✔|✔|||
|[Deeplabv3](../configs/deeplabv3)|✔|✔|||
|[Deeplabv3P](../configs/deeplabv3p)|✔|✔|||
|[Fast-SCNN](../configs/fastscnn)|-|-|-|-|
|[FCN](../configs/fcn)|||✔|✔|
|[GCNet](../configs/gcnet)|✔|✔|||
|[GSCNN](../configs/gscnn)|✔|✔|||
|[HarDNet](../configs/hardnet)|-|-|-|-|
|[OCRNet](../configs/ocrnet/)|||✔|✔|
|[PSPNet](../configs/pspnet)|✔|✔|||
|[U-Net](../configs/unet)|-|-|-|-|
|[U<sup>2</sup>-Net](../configs/u2net)|-|-|-|-|
|[Att U-Net](../configs/attention_unet)|-|-|-|-|
|[U-Net++](../configs/unet_plusplus)|-|-|-|-|
|[U-Net3+](../configs/unet_3plus)|-|-|-|-|
|[DecoupledSegNet](../configs/decoupled_segnet)|✔|✔|||
|[EMANet](../configs/emanet)|✔|✔|-|-|
|[ISANet](../configs/isanet)|✔|✔|-|-|
|[DNLNet](../configs/dnlnet)|✔|✔|-|-|
|[SFNet](../configs/sfnet)|✔|-|-|-|
|[PP-HumanSeg-Lite](../configs/pp_humanseg_lite)|-|-|-|-|
|[PortraitNet](../configs/portraitnet)|-|-|-|-|
|[STDC](../configs/stdcseg)|-|-|-|-|
|[GINet](../configs/ginet)|✔|✔|-|-|
|[PointRend](../configs/pointrend)|✔|✔|-|-|
|[SegNet](../configs/segnet)|-|-|-|-|
|[ESPNetV2](../configs/espnet)|-|-|-|-|
|[HRNetW48Contrast](../configs/hrnet_w48_contrast)|-|-|-|✔|
|[DMNet](../configs/dmnet)|-|✔|-|-|
|[ESPNetV1](../configs/espnetv1)|-|-|-|-|
|[ENCNet](../configs/encnet)|-|✔|-|-|
|[PFPNNet](../configs/pfpn)|-|✔|-|-|
|[FastFCN](../configs/fastfcn)|✔|-|-|-|
|[BiSeNetV1](../configs/bisenetv1)|-|-|-|-|
|[ENet](../configs/enet)|-|-|-|-|
|[CCNet](../configs/ccnet)|-|✔|-|-|
|[DDRNet](../configs/ddrnet)|-|-|-|-|
|[GloRe](../configs/glore)|✔|-|-|-|
|[PP-LiteSeg](../configs/pp_liteseg)|-|-|-|-|

**Transformer系列**
* [SETR](../configs/setr)
* [MLATransformer](../contrib/AutoNUE/configs)
* [SegFormer](../configs/segformer)
* [SegMenter](../configs/segmenter)

一键复制原始数据按行查看历史

提交于 2022-11-30 10:57 . [Doc] Update readme and news for release 2.7 (#2784)

简体中文 | English

模型库

语义分割模型库

目前，PaddleSeg提供了45+语义分割模型、150+预训练模型、10+骨干网络。

在PaddleSeg/configs目录下，我们给出了所有模型在公开数据集上的配置文件和README文件，比如PP-LiteSeg模型。

其中，README文件介绍了模型论文和训练精度，而且给出了公开数据集上训练的权重，可以直接下载进行测试。

如下我们列出了部分模型。

CNN系列

模型\骨干网络	ResNet50	ResNet101	HRNetw18	HRNetw48
ANN	✔	✔
BiSeNetv2	-	-	-	-
DANet	✔	✔
Deeplabv3	✔	✔
Deeplabv3P	✔	✔
Fast-SCNN	-	-	-	-
FCN			✔	✔
GCNet	✔	✔
GSCNN	✔	✔
HarDNet	-	-	-	-
OCRNet			✔	✔
PSPNet	✔	✔
U-Net	-	-	-	-
U²-Net	-	-	-	-
Att U-Net	-	-	-	-
U-Net++	-	-	-	-
U-Net3+	-	-	-	-
DecoupledSegNet	✔	✔
EMANet	✔	✔	-	-
ISANet	✔	✔	-	-
DNLNet	✔	✔	-	-
SFNet	✔	-	-	-
PP-HumanSeg-Lite	-	-	-	-
PortraitNet	-	-	-	-
STDC	-	-	-	-
GINet	✔	✔	-	-
PointRend	✔	✔	-	-
SegNet	-	-	-	-
ESPNetV2	-	-	-	-
HRNetW48Contrast	-	-	-	✔
DMNet	-	✔	-	-
ESPNetV1	-	-	-	-
ENCNet	-	✔	-	-
PFPNNet	-	✔	-	-
FastFCN	✔	-	-	-
BiSeNetV1	-	-	-	-
ENet	-	-	-	-
CCNet	-	✔	-	-
DDRNet	-	-	-	-
GloRe	✔	-	-	-
PP-LiteSeg	-	-	-	-

Transformer系列

Python

1

https://gitee.com/paddlepaddle/PaddleSeg.git

git@gitee.com:paddlepaddle/PaddleSeg.git

paddlepaddle

PaddleSeg

PaddleSeg

release/2.9