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  • 语义分割

    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 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

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  • 原文地址:https://www.cnblogs.com/hsy1941/p/9792378.html
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