来源:CSDN博客(http://blog.csdn.net/zhangjunhit/article/details/78190283)
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 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
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
*推荐文章*
PS.极市平台正寻求与开发者视觉算法的合作,欢迎联系小助手(微信:Extreme-Vision)沟通合作~ 也欢迎大家投稿~