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 这个很好！ 

https://github.com/meetshah1995/pytorch-semseg

 

Learning Deconvolution Network for Semantic Segmentation 

https://github.com/HyeonwooNoh/DeconvNet

 

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 

https://github.com/aayushbansal/PixelNet 

http://www.cs.cmu.edu/~aayushb/pixelNet/

 

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 

半监督语义分割 

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 分水岭+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

 

基于单张训练样本的视频运动物体分割 

Video Object Segmentation Without Temporal Information One-Shot Video Object Segmentation 

http://www.vision.ee.ethz.ch/~cvlsegmentation/osvos/

 

图像语义匹配 

SCNet: Learning Semantic Correspondence ICCV2017 

Matlab code: https://github.com/k-han/SCNet

 

同时检测和分割，类似 Mask R-CNN 

BlitzNet: A Real-Time Deep Network for Scene Understanding 

ICCV2017 

https://github.com/dvornikita/blitznet 

 

目标候选区域分割 

FastMask: Segment Multi-scale Object Candidates in One Shot CVPR2017 

https://github.com/voidrank/FastMask

 

视频分割

Learning to Segment Instances in Videos with Spatial Propagation Network CVPRW2017 

https://github.com/JingchunCheng/Seg-with-SPN