AI实战：github图像语义分割代码汇总_语义分割多分类代码tensorflow

github图像语义分割代码汇总

Semantic segmentation

• U-Net (https://arxiv.org/pdf/1505.04597.pdf)
  https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ (Caffe - Matlab)
  https://github.com/jocicmarko/ultrasound-nerve-segmentation (Keras)
  https://github.com/EdwardTyantov/ultrasound-nerve-segmentation(Keras)
  https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model (Keras)
  https://github.com/yihui-he/u-net (Keras)
  https://github.com/jakeret/tf_unet (Tensorflow)
  https://github.com/DLTK/DLTK/blob/master/examples/Toy_segmentation/simple_dltk_unet.ipynb (Tensorflow)
  https://github.com/divamgupta/image-segmentation-keras (Keras)
  https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
  https://github.com/akirasosa/mobile-semantic-segmentation (Keras)
  https://github.com/orobix/retina-unet (Keras)
• SegNet (https://arxiv.org/pdf/1511.00561.pdf)
  https://github.com/alexgkendall/caffe-segnet (Caffe)
  https://github.com/developmentseed/caffe/tree/segnet-multi-gpu (Caffe)
  https://github.com/preddy5/segnet (Keras)
  https://github.com/imlab-uiip/keras-segnet (Keras)
  https://github.com/andreaazzini/segnet (Tensorflow)
  https://github.com/fedor-chervinskii/segnet-torch (Torch)
  https://github.com/0bserver07/Keras-SegNet-Basic (Keras)
  https://github.com/tkuanlun350/Tensorflow-SegNet (Tensorflow)
  https://github.com/divamgupta/image-segmentation-keras (Keras)
  https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
  https://github.com/chainer/chainercv/tree/master/examples/segnet(Chainer)
  https://github.com/ykamikawa/keras-SegNet (Keras)
• DeepLab (https://arxiv.org/pdf/1606.00915.pdf)
  https://bitbucket.org/deeplab/deeplab-public/ (Caffe)
  https://github.com/cdmh/deeplab-public (Caffe)
  https://bitbucket.org/aquariusjay/deeplab-public-ver2 (Caffe)
  https://github.com/TheLegendAli/DeepLab-Context (Caffe)
  https://github.com/msracver/Deformable-ConvNets/tree/master/deeplab(MXNet)
  https://github.com/DrSleep/tensorflow-deeplab-resnet (Tensorflow)
  https://github.com/muyang0320/tensorflow-deeplab-resnet-crf(TensorFlow)
  https://github.com/isht7/pytorch-deeplab-resnet (PyTorch)
  https://github.com/bermanmaxim/jaccardSegment (PyTorch)
  https://github.com/martinkersner/train-DeepLab (Caffe)
  https://github.com/chenxi116/TF-deeplab (Tensorflow)
• FCN (https://arxiv.org/pdf/1605.06211.pdf)
  https://github.com/vlfeat/matconvnet-fcn (MatConvNet)
  https://github.com/shelhamer/fcn.berkeleyvision.org (Caffe)
  https://github.com/MarvinTeichmann/tensorflow-fcn (Tensorflow)
  https://github.com/aurora95/Keras-FCN (Keras)
  https://github.com/mzaradzki/neuralnets/tree/master/vgg_segmentation_keras (Keras)
  https://github.com/k3nt0w/FCN_via_keras (Keras)
  https://github.com/shekkizh/FCN.tensorflow (Tensorflow)
  https://github.com/seewalker/tf-pixelwise (Tensorflow)
  https://github.com/divamgupta/image-segmentation-keras (Keras)
  https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
  https://github.com/wkentaro/pytorch-fcn (PyTorch)
  https://github.com/wkentaro/fcn (Chainer)
  https://github.com/apache/incubator-mxnet/tree/master/example/fcn-xs(MxNet)
  https://github.com/muyang0320/tf-fcn (Tensorflow)
  https://github.com/ycszen/pytorch-seg (PyTorch)
  https://github.com/Kaixhin/FCN-semantic-segmentation (PyTorch)
• ENet (https://arxiv.org/pdf/1606.02147.pdf)
  https://github.com/TimoSaemann/ENet (Caffe)
  https://github.com/e-lab/ENet-training (Torch)
  https://github.com/PavlosMelissinos/enet-keras (Keras)
• LinkNet (https://arxiv.org/pdf/1707.03718.pdf)
  https://github.com/e-lab/LinkNet (Torch)
• DenseNet (https://arxiv.org/pdf/1608.06993.pdf)
  https://github.com/flyyufelix/DenseNet-Keras (Keras)
• Tiramisu (https://arxiv.org/pdf/1611.09326.pdf)
  https://github.com/0bserver07/One-Hundred-Layers-Tiramisu (Keras)
  https://github.com/SimJeg/FC-DenseNet (Lasagne)
• DilatedNet (https://arxiv.org/pdf/1511.07122.pdf)
  https://github.com/nicolov/segmentation_keras (Keras)
• PixelNet (https://arxiv.org/pdf/1609.06694.pdf)
  https://github.com/aayushbansal/PixelNet (Caffe)
• ICNet (https://arxiv.org/pdf/1704.08545.pdf)
  https://github.com/hszhao/ICNet (Caffe)
• ERFNet (http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17iv.pdf)
  https://github.com/Eromera/erfnet (Torch)
• RefineNet (https://arxiv.org/pdf/1611.06612.pdf)
  https://github.com/guosheng/refinenet (MatConvNet)
• PSPNet (https://arxiv.org/pdf/1612.01105.pdf)
  https://github.com/hszhao/PSPNet (Caffe)
  https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
  https://github.com/mitmul/chainer-pspnet (Chainer)
  https://github.com/Vladkryvoruchko/PSPNet-Keras-tensorflow(Keras/Tensorflow)
  https://github.com/pudae/tensorflow-pspnet (Tensorflow)
• CRFasRNN (http://www.robots.ox.ac.uk/%7Eszheng/papers/CRFasRNN.pdf)
  https://github.com/torrvision/crfasrnn (Caffe)
  https://github.com/sadeepj/crfasrnn_keras (Keras)
• Dilated convolution (https://arxiv.org/pdf/1511.07122.pdf)
  https://github.com/fyu/dilation (Caffe)
  https://github.com/fyu/drn#semantic-image-segmentataion (PyTorch)
  https://github.com/hangzhaomit/semantic-segmentation-pytorch (PyTorch)
• DeconvNet (https://arxiv.org/pdf/1505.04366.pdf)
  http://cvlab.postech.ac.kr/research/deconvnet/ (Caffe)
  https://github.com/HyeonwooNoh/DeconvNet (Caffe)
  https://github.com/fabianbormann/Tensorflow-DeconvNet-Segmentation(Tensorflow)
• FRRN (https://arxiv.org/pdf/1611.08323.pdf)
  https://github.com/TobyPDE/FRRN (Lasagne)
• GCN (https://arxiv.org/pdf/1703.02719.pdf)
  https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
  https://github.com/ycszen/pytorch-seg (PyTorch)
• DUC, HDC (https://arxiv.org/pdf/1702.08502.pdf)
  https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
  https://github.com/ycszen/pytorch-seg (PyTorch)
• Segaware (https://arxiv.org/pdf/1708.04607.pdf)
  https://github.com/aharley/segaware (Caffe)
• Semantic Segmentation using Adversarial Networks (https://arxiv.org/pdf/1611.08408.pdf)
  https://github.com/oyam/Semantic-Segmentation-using-Adversarial-Networks (Chainer)

Instance aware segmentation

• FCIS [https://arxiv.org/pdf/1611.07709.pdf]
  https://github.com/msracver/FCIS [MxNet]
• MNC [https://arxiv.org/pdf/1512.04412.pdf]
  https://github.com/daijifeng001/MNC [Caffe]
• DeepMask [https://arxiv.org/pdf/1506.06204.pdf]
  https://github.com/facebookresearch/deepmask [Torch]
• SharpMask [https://arxiv.org/pdf/1603.08695.pdf]
  https://github.com/facebookresearch/deepmask [Torch]
• Mask-RCNN [https://arxiv.org/pdf/1703.06870.pdf]
  https://github.com/CharlesShang/FastMaskRCNN [Tensorflow]
  https://github.com/jasjeetIM/Mask-RCNN [Caffe]
  https://github.com/TuSimple/mx-maskrcnn [MxNet]
  https://github.com/matterport/Mask_RCNN [Keras]
• RIS [https://arxiv.org/pdf/1511.08250.pdf]
  https://github.com/bernard24/RIS [Torch]
• FastMask [https://arxiv.org/pdf/1612.08843.pdf]
  https://github.com/voidrank/FastMask [Caffe]

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