天天看點

語義分割文獻集合

語義分割

Global Deconvolutional Networks

BMVC 2016

https://github.com/DrSleep/GDN

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

基于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/

圖像語義比對 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 ​​​​

目标候選區域分割 FastMask: Segment Multi-scale Object Candidates in One Shot CVPR2017

https://github.com/voidrank/FastMask

語義分割 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

視訊分割 Learning to Segment Instances in Videos with Spatial Propagation Network CVPRW2017

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

語義分割 Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes CVPR2017

https://github.com/TobyPDE/FRRN

語義分割: Awesome Semantic Segmentation

https://github.com/mrgloom/awesome-semantic-segmentation

語義分割代碼 Semantic Segmentation Algorithms Implemented in PyTorch 這個很好!

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

語義分割 Learning Deconvolution Network for Semantic Segmentation

https://github.com/HyeonwooNoh/DeconvNet

語義分割 Fully Convolutional Instance-aware Semantic Segmentation

https://github.com/daijifeng001/TA-FCN

語義分割 Fully Convolutional Networks for Semantic Segmentation

https://github.com/shelhamer/fcn.berkeleyvision.org

語義分割 PixelNet: Representation of the pixels, by the pixels, and for the pixels

https://github.com/aayushbansal/PixelNet

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

語義分割 ICNet for Real-Time Semantic Segmentation on High-Resolution Images

https://hszhao.github.io/projects/icnet/ https://github.com/hszhao/ICNet

語義分割 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

語義分割 DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

https://bitbucket.org/aquariusjay/deeplab-public-ver2/overview

語義分割 DeconvNet : Learning Deconvolution Network for Semantic Segmentation ICCV2015

https://github.com/HyeonwooNoh/DeconvNet http://cvlab.postech.ac.kr/research/deconvnet/

語義分割 Pyramid Scene Parsing Network CVPR2017

https://github.com/hszhao/PSPNet

語義分割 Fully Convolutional Instance-aware Semantic Segmentation CVPR2017

https://github.com/msracver/FCIS

語義分割 ParseNet: Looking Wider to See Better

https://github.com/weiliu89/caffe/tree/fcn

繼續閱讀