语义分割入门必读论文

我这里只整理了较早期的论文，最新论文还没阅读，等读到了再来更新。

1. FCN

出处：2015 CVPR
论文：Fully convolutional networks for semantic segmentation

2. SegNet

出处：2015， 2017 TPAMI
论文：Segnet: A deep convolutional encoder-decoder architecture for image segmentation

3. UNet（医学图像分割）

出处：2015, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION
论文：U-net: Convolutional networks for biomedical image segmentation

4. ParseNet

出处：2015, arxiv CVPR
论文：Parsenet: Looking wider to see better

4. DeepLab v1

出处：2015，ICLR
论文：Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

5. DeepLab v2

出处：2017, TPAMI
论文：Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

6. DeepLab v3

出处：2017, CVPR
论文：Rethinking Atrous Convolution for Semantic Image Segmentation

7. PSPNet

出处：2017, CVPR. 早于DeepLab v3
论文：Pyramid scene parsing network