來源：CSDN部落格（http://blog.csdn.net/zhangjunhit/article/details/78190283）

語義分割 

Global Deconvolutional Networks 
BMVC 2016 
https://github.com/DrSleep/GDN

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation CVPRW 2017 
Theano/Lasagne code Implementation 

https://github.com/0bserver07/One-Hundred-Layers-Tiramisu

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes CVPR2017 
https://github.com/TobyPDE/FRRN

Awesome Semantic Segmentation 
https://github.com/mrgloom/awesome-semantic-segmentation

Semantic Segmentation Algorithms Implemented in PyTorch 這個很好！ 
https://github.com/meetshah1995/pytorch-semseg

Learning Deconvolution Network for Semantic Segmentation 

Fully Convolutional Instance-aware Semantic Segmentation 
https://github.com/daijifeng001/TA-FCN

Fully Convolutional Networks for Semantic Segmentation 
https://github.com/shelhamer/fcn.berkeleyvision.org

PixelNet: Representation of the pixels, by the pixels, and for the pixels 

ICNet for Real-Time Semantic Segmentation on High-Resolution Images 
https://hszhao.github.io/projects/icnet/ https://github.com/hszhao/ICNet

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling 
https://arxiv.org/pdf/1511.00561.pdf 
PAMI-2017 https://github.com/alexgkendall/caffe-segnet

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 
https://bitbucket.org/aquariusjay/deeplab-public-ver2/overview

DeconvNet : Learning Deconvolution Network for Semantic Segmentation ICCV2015 
https://github.com/HyeonwooNoh/DeconvNet http://cvlab.postech.ac.kr/research/deconvnet/

Pyramid Scene Parsing Network CVPR2017 
https://github.com/hszhao/PSPNet

Fully Convolutional Instance-aware Semantic Segmentation CVPR2017 
https://github.com/msracver/FCIS

ParseNet: Looking Wider to See Better 
https://github.com/weiliu89/caffe/tree/fcn

其他 

半監督語義分割 

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation 
AAAI Conference on Artificial Intelligence (AAAI) 2018 
http://mmlab.ie.cuhk.edu.hk/projects/M&M/https://github.com/XiaohangZhan/mix-and-match/

deconvnet analysis 
Salient Deconvolutional Networks ECCV2016 
https://github.com/aravindhm/deconvnet_analysis

Instance Segmentation 分水嶺+CNN 
Deep Watershed Transform for Instance Segmentation CVPR2017 
https://github.com/min2209/dwt

Instance Segmentation 
End-to-End Instance Segmentation with Recurrent Attention CVPR2017 
https://github.com/renmengye/rec-attend-public

基於單張訓練樣本的視訊運動物體分割 
Video Object Segmentation Without Temporal Information One-Shot Video Object Segmentation 
http://www.vision.ee.ethz.ch/~cvlsegmentation/osvos/

影象語義匹配 

SCNet: Learning Semantic Correspondence ICCV2017 
Matlab code: https://github.com/k-han/SCNet

同時檢測和分割，類似 Mask R-CNN 
BlitzNet: A Real-Time Deep Network for Scene Understanding 
ICCV2017 

https://github.com/dvornikita/blitznet 

目標候選區域分割 

FastMask: Segment Multi-scale Object Candidates in One Shot CVPR2017 
https://github.com/voidrank/FastMask

視訊分割

Learning to Segment Instances in Videos with Spatial Propagation Network CVPRW2017 
https://github.com/JingchunCheng/Seg-with-SPN