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 architecture

Semantic segmentation

• U-Net [https://arxiv.org/pdf/1505.04597.pdf] [2015]
• SegNet [https://arxiv.org/pdf/1511.00561.pdf] [2016]
• DeepLab [https://arxiv.org/pdf/1606.00915.pdf] [2017]
• FCN [https://arxiv.org/pdf/1605.06211.pdf] [2016]
• ENet [https://arxiv.org/pdf/1606.02147.pdf] [2016]
• LinkNet [https://arxiv.org/pdf/1707.03718.pdf] [2017]
  • https://github.com/e-lab/LinkNet [Torch]
• DenseNet [https://arxiv.org/pdf/1608.06993.pdf] [2018]
  • https://github.com/flyyufelix/DenseNet-Keras [Keras]
• Tiramisu [https://arxiv.org/pdf/1611.09326.pdf] [2017]
• DilatedNet [https://arxiv.org/pdf/1511.07122.pdf] [2016]
• PixelNet [https://arxiv.org/pdf/1609.06694.pdf] [2016]
  • https://github.com/aayushbansal/PixelNet [Caffe]
• ICNet [https://arxiv.org/pdf/1704.08545.pdf] [2017]
• ERFNet [https://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17iv.pdf] [?]
• RefineNet [https://arxiv.org/pdf/1611.06612.pdf] [2016]
  • https://github.com/guosheng/refinenet [MatConvNet]
• PSPNet [https://arxiv.org/pdf/1612.01105.pdf,https://hszhao.github.io/projects/pspnet/] [2017]
• DeconvNet [https://arxiv.org/pdf/1505.04366.pdf] [2015]
• FRRN [https://arxiv.org/pdf/1611.08323.pdf] [2016]
  • https://github.com/TobyPDE/FRRN [Lasagne]
• GCN [https://arxiv.org/pdf/1703.02719.pdf] [2017]
• LRR [https://arxiv.org/pdf/1605.02264.pdf] [2016]
  • https://github.com/golnazghiasi/LRR [Matconvnet]
• DUC, HDC [https://arxiv.org/pdf/1702.08502.pdf] [2017]
• MultiNet [https://arxiv.org/pdf/1612.07695.pdf] [2016]
• Segaware [https://arxiv.org/pdf/1708.04607.pdf] [2017]
  • https://github.com/aharley/segaware [Caffe]
• Semantic Segmentation using Adversarial Networks [https://arxiv.org/pdf/1611.08408.pdf] [2016]
  • https://github.com/oyam/Semantic-Segmentation-using-Adversarial-Networks [Chainer]
• PixelDCN [https://arxiv.org/pdf/1705.06820.pdf] [2017]
  • https://github.com/HongyangGao/PixelDCN [Tensorflow]
• ShuffleSeg [https://arxiv.org/pdf/1803.03816.pdf] [2018]
  • https://github.com/MSiam/TFSegmentation [TensorFlow]
• AdaptSegNet [https://arxiv.org/pdf/1802.10349.pdf] [2018]
  • https://github.com/wasidennis/AdaptSegNet [PyTorch]

Instance aware segmentation

Weakly-supervised segmentation

• https://github.com/NVIDIA/pix2pixHD

Graphical Models (CRF, MRF)

Datasets:

Benchmarks

Annotation Tools:

Results:

Metrics

• https://github.com/martinkersner/py_img_seg_eval

Other lists

Medical image segmentation:

• DIGITS

  • https://github.com/NVIDIA/DIGITS/tree/master/examples/medical-imaging

• U-Net: Convolutional Networks for Biomedical Image Segmentation

• Cascaded-FCN

  • https://github.com/IBBM/Cascaded-FCN

• Keras

• 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:

Satellite images segmentation

Video segmentation

Autonomous driving

Other

Networks by framework (Older list)

Papers and Code (Older list)

To look at

Blog posts, other:

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