语义分割 paper 以及 code 汇总
本帖最后由 KLVE 于 2019-7-22 15:08 编辑语义分割 paper 以及 code 汇总
下边是国外小哥mrgloom汇总的各种语义分割的paper以及code，非常赞。分享一下：https://github.com/mrgloom/awesome-semantic-segmentation.git
Awesome Semantic Segmentation
Networks by architectureSemantic segmentation
[*]U-Net [https://arxiv.org/pdf/1505.04597.pdf]
[*]https://github.com/zhixuhao/unet
[*]https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/
[*]https://github.com/jocicmarko/ultrasound-nerve-segmentation
[*]https://github.com/EdwardTyantov/ultrasound-nerve-segmentation
[*]https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model
[*]https://github.com/yihui-he/u-net
[*]https://github.com/jakeret/tf_unet
[*]https://github.com/DLTK/DLTK/blob/master/examples/Toy_segmentation/simple_dltk_unet.ipynb
[*]https://github.com/divamgupta/image-segmentation-keras
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/akirasosa/mobile-semantic-segmentation
[*]https://github.com/orobix/retina-unet
[*]https://github.com/masahi/nnvm-vision-demo/blob/master/unet_segmentation.py
[*]https://github.com/qureai/ultrasound-nerve-segmentation-using-torchnet
[*]https://github.com/ternaus/TernausNet
[*]SegNet [https://arxiv.org/pdf/1511.00561.pdf]
[*]https://github.com/alexgkendall/caffe-segnet
[*]https://github.com/developmentseed/caffe/tree/segnet-multi-gpu
[*]https://github.com/preddy5/segnet
[*]https://github.com/imlab-uiip/keras-segnet
[*]https://github.com/andreaazzini/segnet
[*]https://github.com/fedor-chervinskii/segnet-torch
[*]https://github.com/0bserver07/Keras-SegNet-Basic
[*]https://github.com/tkuanlun350/Tensorflow-SegNet
[*]https://github.com/divamgupta/image-segmentation-keras
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/chainer/chainercv/tree/master/examples/segnet
[*]https://github.com/ykamikawa/keras-SegNet
[*]DeepLab [https://arxiv.org/pdf/1606.00915.pdf]
[*]https://bitbucket.org/deeplab/deeplab-public/
[*]https://github.com/cdmh/deeplab-public
[*]https://bitbucket.org/aquariusjay/deeplab-public-ver2
[*]https://github.com/TheLegendAli/DeepLab-Context
[*]https://github.com/msracver/Deformable-ConvNets/tree/master/deeplab
[*]https://github.com/DrSleep/tensorflow-deeplab-resnet
[*]https://github.com/muyang0320/tensorflow-deeplab-resnet-crf
[*]https://github.com/isht7/pytorch-deeplab-resnet
[*]https://github.com/bermanmaxim/jaccardSegment
[*]https://github.com/martinkersner/train-DeepLab
[*]https://github.com/chenxi116/TF-deeplab
[*]https://github.com/bonlime/keras-deeplab-v3-plus
[*]FCN [https://arxiv.org/pdf/1605.06211.pdf]
[*]https://github.com/vlfeat/matconvnet-fcn
[*]https://github.com/shelhamer/fcn.berkeleyvision.org
[*]https://github.com/MarvinTeichmann/tensorflow-fcn
[*]https://github.com/aurora95/Keras-FCN
[*]https://github.com/mzaradzki/neuralnets/tree/master/vgg_segmentation_keras
[*]https://github.com/k3nt0w/FCN_via_keras
[*]https://github.com/shekkizh/FCN.tensorflow
[*]https://github.com/seewalker/tf-pixelwise
[*]https://github.com/divamgupta/image-segmentation-keras
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/wkentaro/pytorch-fcn
[*]https://github.com/wkentaro/fcn
[*]https://github.com/apache/incubator-mxnet/tree/master/example/fcn-xs
[*]https://github.com/muyang0320/tf-fcn
[*]https://github.com/ycszen/pytorch-seg
[*]https://github.com/Kaixhin/FCN-semantic-segmentation
[*]https://github.com/petrama/VGGSegmentation
[*]https://github.com/simonguist/testing-fcn-for-cityscapes
[*]https://github.com/hellochick/semantic-segmentation-tensorflow
[*]ENet [https://arxiv.org/pdf/1606.02147.pdf]
[*]https://github.com/TimoSaemann/ENet
[*]https://github.com/e-lab/ENet-training
[*]https://github.com/PavlosMelissinos/enet-keras
[*]https://github.com/fregu856/segmentation
[*]LinkNet [https://arxiv.org/pdf/1707.03718.pdf]
[*]https://github.com/e-lab/LinkNet
[*]DenseNet [https://arxiv.org/pdf/1608.06993.pdf]
[*]https://github.com/flyyufelix/DenseNet-Keras
[*]Tiramisu [https://arxiv.org/pdf/1611.09326.pdf]
[*]https://github.com/0bserver07/One-Hundred-Layers-Tiramisu
[*]https://github.com/SimJeg/FC-DenseNet
[*]DilatedNet [https://arxiv.org/pdf/1511.07122.pdf]
[*]https://github.com/nicolov/segmentation_keras
[*]https://github.com/fyu/dilation
[*]https://github.com/fyu/drn#semantic-image-segmentataion
[*]https://github.com/hangzhaomit/semantic-segmentation-pytorch
[*]PixelNet [https://arxiv.org/pdf/1609.06694.pdf]
[*]https://github.com/aayushbansal/PixelNet
[*]ICNet [https://arxiv.org/pdf/1704.08545.pdf]
[*]https://github.com/hszhao/ICNet
[*]https://github.com/ai-tor/Keras-ICNet
[*]https://github.com/hellochick/ICNet-tensorflow
[*]ERFNet [http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17iv.pdf] [?]
[*]https://github.com/Eromera/erfnet
[*]https://github.com/Eromera/erfnet_pytorch
[*]RefineNet [https://arxiv.org/pdf/1611.06612.pdf]
[*]https://github.com/guosheng/refinenet
[*]PSPNet [https://arxiv.org/pdf/1612.01105.pdf,https://hszhao.github.io/projects/pspnet/]
[*]https://github.com/hszhao/PSPNet
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/mitmul/chainer-pspnet
[*]https://github.com/Vladkryvoruchko/PSPNet-Keras-tensorflow
[*]https://github.com/pudae/tensorflow-pspnet
[*]https://github.com/hellochick/PSPNet-tensorflow
[*]https://github.com/hellochick/semantic-segmentation-tensorflow
[*]DeconvNet [https://arxiv.org/pdf/1505.04366.pdf]
[*]http://cvlab.postech.ac.kr/research/deconvnet/
[*]https://github.com/HyeonwooNoh/DeconvNet
[*]https://github.com/fabianbormann/Tensorflow-DeconvNet-Segmentation
[*]FRRN [https://arxiv.org/pdf/1611.08323.pdf]
[*]https://github.com/TobyPDE/FRRN
[*]GCN [https://arxiv.org/pdf/1703.02719.pdf]
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/ycszen/pytorch-seg
[*]LRR [https://arxiv.org/pdf/1605.02264.pdf]
[*]https://github.com/golnazghiasi/LRR
[*]DUC, HDC [https://arxiv.org/pdf/1702.08502.pdf]
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/ycszen/pytorch-seg
[*]MultiNet [https://arxiv.org/pdf/1612.07695.pdf]
[*]https://github.com/MarvinTeichmann/MultiNet
[*]https://github.com/MarvinTeichmann/KittiSeg
[*]Segaware [https://arxiv.org/pdf/1708.04607.pdf]
[*]https://github.com/aharley/segaware
[*]Semantic Segmentation using Adversarial Networks [https://arxiv.org/pdf/1611.08408.pdf]
[*]https://github.com/oyam/Semantic-Segmentation-using-Adversarial-Networks
[*]PixelDCN [https://arxiv.org/pdf/1705.06820.pdf]
[*]https://github.com/HongyangGao/PixelDCN
[*]ShuffleSeg [https://arxiv.org/pdf/1803.03816.pdf]
[*]https://github.com/MSiam/TFSegmentation
[*]AdaptSegNet [https://arxiv.org/pdf/1802.10349.pdf]
[*]https://github.com/wasidennis/AdaptSegNet
Instance aware segmentation
[*]FCIS [https://arxiv.org/pdf/1611.07709.pdf]
[*]https://github.com/msracver/FCIS
[*]MNC [https://arxiv.org/pdf/1512.04412.pdf]
[*]https://github.com/daijifeng001/MNC
[*]DeepMask [https://arxiv.org/pdf/1506.06204.pdf]
[*]https://github.com/facebookresearch/deepmask
[*]SharpMask [https://arxiv.org/pdf/1603.08695.pdf]
[*]https://github.com/aby2s/sharpmask
[*]Mask-RCNN [https://arxiv.org/pdf/1703.06870.pdf]
[*]https://github.com/CharlesShang/FastMaskRCNN
[*]https://github.com/jasjeetIM/Mask-RCNN
[*]https://github.com/TuSimple/mx-maskrcnn
[*]https://github.com/matterport/Mask_RCNN
[*]RIS [https://arxiv.org/pdf/1511.08250.pdf]
[*]https://github.com/bernard24/RIS
[*]FastMask [https://arxiv.org/pdf/1612.08843.pdf]
[*]https://github.com/voidrank/FastMask
[*]BlitzNet [https://arxiv.org/pdf/1708.02813.pdf]
[*]https://github.com/dvornikita/blitznet
Weakly-supervised segmentation
[*]SEC [https://arxiv.org/pdf/1603.06098.pdf]
[*]https://github.com/kolesman/SEC
RNN
[*]ReNet [https://arxiv.org/pdf/1505.00393.pdf]
[*]https://github.com/fvisin/reseg
[*]ReSeg [https://arxiv.org/pdf/1511.07053.pdf]
[*]https://github.com/Wizaron/reseg-pytorch
[*]https://github.com/fvisin/reseg
[*]RIS [https://arxiv.org/pdf/1511.08250.pdf]
[*]https://github.com/bernard24/RIS
[*]CRF-RNN [http://www.robots.ox.ac.uk/%7Eszheng/papers/CRFasRNN.pdf]
[*]https://github.com/martinkersner/train-CRF-RNN
[*]https://github.com/torrvision/crfasrnn
[*]https://github.com/NP-coder/CLPS1520Project
[*]https://github.com/renmengye/rec-attend-public
[*]https://github.com/sadeepj/crfasrnn_keras
GANS
[*]https://github.com/NVIDIA/pix2pixHD
Graphical Models (CRF, MRF)
[*]https://github.com/cvlab-epfl/densecrf
[*]http://vladlen.info/publications/efficient-inference-in-fully-connected-crfs-with-gaussian-edge-potentials/
[*]http://www.philkr.net/home/densecrf
[*]http://graphics.stanford.edu/projects/densecrf/
[*]https://github.com/amiltonwong/segmentation/blob/master/segmentation.ipynb
[*]https://github.com/jliemansifry/super-simple-semantic-segmentation
[*]http://users.cecs.anu.edu.au/~jdomke/JGMT/
[*]https://www.quora.com/How-can-one-train-and-test-conditional-random-field-CRF-in-Python-on-our-own-training-testing-dataset
[*]https://github.com/tpeng/python-crfsuite
[*]https://github.com/chokkan/crfsuite
[*]https://sites.google.com/site/zeppethefake/semantic-segmentation-crf-baseline
[*]https://github.com/lucasb-eyer/pydensecrf
Datasets:
[*]Stanford Background Dataset
[*]Sift Flow Dataset
[*]Barcelona Dataset
[*]Microsoft COCO dataset
[*]MSRC Dataset
[*]LITS Liver Tumor Segmentation Dataset
[*]KITTI
[*]Pascal Context
[*]Data from Games dataset
[*]Human parsing dataset
[*]Mapillary Vistas Dataset
[*]Microsoft AirSim
[*]MIT Scene Parsing Benchmark
[*]COCO 2017 Stuff Segmentation Challenge
[*]ADE20K Dataset
[*]INRIA Annotations for Graz-02
[*]Daimler dataset
[*]ISBI Challenge: Segmentation of neuronal structures in EM stacks
[*]INRIA Annotations for Graz-02 (IG02)
[*]Pratheepan Dataset
[*]Clothing Co-Parsing (CCP) Dataset
[*]Inria Aerial Image
[*]ApolloScape
[*]UrbanMapper3D
[*]RoadDetector
Benchmarks
[*]https://github.com/ZijunDeng/pytorch-semantic-segmentation
[*]https://github.com/meetshah1995/pytorch-semseg
[*]https://github.com/GeorgeSeif/Semantic-Segmentation-Suite
[*]https://github.com/MSiam/TFSegmentation
[*]https://github.com/CSAILVision/sceneparsing
Annotation Tools:
[*]https://github.com/AKSHAYUBHAT/ImageSegmentation
[*]https://github.com/kyamagu/js-segment-annotator
[*]https://github.com/CSAILVision/LabelMeAnnotationTool
[*]https://github.com/seanbell/opensurfaces-segmentation-ui
[*]https://github.com/lzx1413/labelImgPlus
[*]https://github.com/wkentaro/labelme
[*]https://github.com/labelbox/labelbox
Results:
[*]MSRC-21
[*]Cityscapes
[*]VOC2012
Metrics
[*]https://github.com/martinkersner/py_img_seg_eval
Other lists
[*]https://github.com/tangzhenyu/SemanticSegmentation_DL
[*]https://github.com/nightrome/really-awesome-semantic-segmentation
Medical image segmentation:
[*]DIGITS
[*]https://github.com/NVIDIA/DIGITS/tree/master/examples/medical-imaging
[*]U-Net: Convolutional Networks for Biomedical Image Segmentation
[*]http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/
[*]https://github.com/dmlc/mxnet/issues/1514
[*]https://github.com/orobix/retina-unet
[*]https://github.com/fvisin/reseg
[*]https://github.com/yulequan/melanoma-recognition
[*]http://www.andrewjanowczyk.com/use-case-1-nuclei-segmentation/
[*]https://github.com/junyanz/MCILBoost
[*]https://github.com/imlab-uiip/lung-segmentation-2d
[*]https://github.com/scottykwok/cervix-roi-segmentation-by-unet
[*]https://github.com/WeidiXie/cell_counting_v2
[*]https://github.com/yandexdataschool/YSDA_deeplearning17/blob/master/Seminar6/Seminar%206%20-%20segmentation.ipynb
[*]Cascaded-FCN
[*]https://github.com/IBBM/Cascaded-FCN
[*]Keras
[*]https://github.com/jocicmarko/ultrasound-nerve-segmentation
[*]https://github.com/EdwardTyantov/ultrasound-nerve-segmentation
[*]https://github.com/intact-project/ild-cnn
[*]https://github.com/scottykwok/cervix-roi-segmentation-by-unet
[*]https://github.com/lishen/end2end-all-conv
[*]Tensorflow
[*]https://github.com/imatge-upc/liverseg-2017-nipsws
[*]Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)
[*]https://github.com/ecobost/cnn4brca
[*]Papers:
[*]https://www2.warwick.ac.uk/fac/sci/dcs/people/research/csrkbb/tmi2016_ks.pdf
[*]Sliding window approach
[*]http://people.idsia.ch/~juergen/nips2012.pdf
[*]https://github.com/albarqouni/Deep-Learning-for-Medical-Applications#segmentation
[*]Data:
[*]https://luna16.grand-challenge.org/
[*]https://camelyon16.grand-challenge.org/
[*]https://github.com/beamandrew/medical-data
Satellite images segmentation
[*]https://github.com/mshivaprakash/sat-seg-thesis
[*]https://github.com/KGPML/Hyperspectral
[*]https://github.com/lopuhin/kaggle-dstl
[*]https://github.com/mitmul/ssai
[*]https://github.com/mitmul/ssai-cnn
[*]https://github.com/azavea/raster-vision
[*]https://github.com/nshaud/DeepNetsForEO
[*]https://github.com/trailbehind/DeepOSM
[*]Data:
[*]https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset-
[*]SpaceNet[https://spacenetchallenge.github.io/]
Video segmentation
[*]https://github.com/shelhamer/clockwork-fcn
[*]https://github.com/JingchunCheng/Seg-with-SPN
Autonomous driving
[*]https://github.com/MarvinTeichmann/MultiNet
[*]https://github.com/MarvinTeichmann/KittiSeg
[*]https://github.com/vxy10/p5_VehicleDetection_Unet
[*]https://github.com/ndrplz/self-driving-car
[*]https://github.com/mvirgo/MLND-Capstone
[*]https://github.com/zhujun98/semantic_segmentation/tree/master/fcn8s_road
OtherNetworks by framework (Older list)
[*]Keras
[*]https://github.com/gakarak/FCN_MSCOCO_Food_Segmentation
[*]https://github.com/abbypa/NNProject_DeepMask
[*]TensorFlow
[*]https://github.com/warmspringwinds/tf-image-segmentation
[*]Caffe
[*]https://github.com/xiaolonw/nips14_loc_seg_testonly
[*]https://github.com/naibaf7/caffe_neural_tool
[*]torch
[*]https://github.com/erogol/seg-torch
[*]https://github.com/phillipi/pix2pix
[*]MXNet
[*]https://github.com/itijyou/ademxapp
Papers and Code (Older list)
[*]Simultaneous detection and segmentation
[*]http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sds/
[*]https://github.com/bharath272/sds_eccv2014
[*]Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
[*]https://github.com/HyeonwooNoh/DecoupledNet
[*]Learning to Propose Objects
[*]http://vladlen.info/publications/learning-to-propose-objects/
[*]https://github.com/philkr/lpo
[*]Nonparametric Scene Parsing via Label Transfer
[*]http://people.csail.mit.edu/celiu/LabelTransfer/code.html
[*]Other
[*]https://github.com/cvjena/cn24
[*]http://lmb.informatik.uni-freiburg.de/resources/software.php
[*]https://github.com/NVIDIA/DIGITS/tree/master/examples/semantic-segmentation
[*]http://jamie.shotton.org/work/code.html
[*]https://github.com/amueller/textonboost
To look at
[*]https://github.com/fchollet/keras/issues/6538
[*]https://github.com/warmspringwinds/tensorflow_notes
[*]https://github.com/kjw0612/awesome-deep-vision#semantic-segmentation
[*]https://github.com/desimone/segmentation-models
[*]https://github.com/nightrome/really-awesome-semantic-segmentation
[*]https://github.com/kjw0612/awesome-deep-vision#semantic-segmentation
[*]http://www.it-caesar.com/list-of-contemporary-semantic-segmentation-datasets/
[*]https://github.com/MichaelXin/Awesome-Caffe#23-image-segmentation
Blog posts, other:
[*]https://handong1587.github.io/deep_learning/2015/10/09/segmentation.html
[*]http://www.andrewjanowczyk.com/efficient-pixel-wise-deep-learning-on-large-images/
[*]https://devblogs.nvidia.com/parallelforall/image-segmentation-using-digits-5/
[*]https://github.com/NVIDIA/DIGITS/tree/master/examples/binary-segmentation
[*]https://github.com/NVIDIA/DIGITS/tree/master/examples/semantic-segmentation
[*]http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review
[*]https://medium.com/@barvinograd1/instance-embedding-instance-segmentation-without-proposals-31946a7c53e1
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