Semantic segmentation

• U-Net [] [2015]
  • [Keras]
  • [Keras]
  • [Keras]
  • [Keras]
  • [Keras]
  • [Tensorflow]
  • [Keras]
  • [PyTorch]
  • [Keras]
  • [Keras]
  • [Torch]
  • [PyTorch]
  • [Keras]
  • [PyTorch]
  • [Caffe + Matlab]
• SegNet [] [2016]
  • [Caffe]
  • [Caffe]
  • [Keras]
  • [Keras]
  • [Tensorflow]
  • [Torch]
  • [Keras]
  • [Tensorflow]
  • [Keras]
  • [PyTorch]
  • [Chainer]
  • [Keras]
  • [Keras]
• DeepLab [] [2017]
  • [Caffe]
  • [Caffe]
  • [Caffe]
  • [Caffe]
  • [MXNet]
  • [Tensorflow]
  • [TensorFlow]
  • [PyTorch]
  • [PyTorch]
  • [Caffe]
  • [Tensorflow]
  • [Keras]
  • [Tensorflow]
  • [PyTorch]
  • [PyTorch]
  • [PyTorch]
• FCN [] [2016]
  • [MatConvNet]
  • [Caffe]
  • [Tensorflow]
  • [Keras]
  • [Keras]
  • [Keras]
  • [Tensorflow]
  • [Tensorflow]
  • [Keras]
  • [PyTorch]
  • [PyTorch]
  • [Chainer]
  • [MxNet]
  • [Tensorflow]
  • [PyTorch]
  • [PyTorch]
  • [Tensorflow]
  • [Caffe]
  • [Tensorflow]
  • [Tensorflow]
  • [Keras]
  • [Keras]
• ENet [] [2016]
  • [Caffe]
  • [Torch]
  • [Keras]
  • [Tensorflow]
  • [Tensorflow]
  • [PyTorch]
• LinkNet [] [2017]
  • [Torch]
  • [Keras]
• DenseNet [] [2018]
  • [Keras]
• Tiramisu [] [2017]
  • [Keras]
  • [Lasagne]
• DilatedNet [] [2016]
  • [Keras]
  • [Caffe]
  • [PyTorch]
  • [PyTorch]
• PixelNet [] [2016]
  • [Caffe]
• ICNet [] [2017]
  • [Caffe]
  • [Keras]
  • [Tensorflow]
  • [Tensorflow]
• ERFNet [] [?]
  • [Torch]
  • [PyTorch]
• RefineNet [] [2016]
  • [MatConvNet]
• PSPNet [] [2017]
  • [Caffe]
  • [PyTorch]
  • [Chainer]
  • [Keras/Tensorflow]
  • [Tensorflow]
  • [Tensorflow]
  • [Tensorflow]
  • [Keras]
  • [Tensorflow]
  • [PyTorch]
  • [PyTorch]
• DeconvNet [] [2015]
  • [Caffe]
  • [Caffe]
  • [Tensorflow]
• FRRN [] [2016]
  • [Lasagne]
• GCN [] [2017]
  • [PyTorch]
  • [PyTorch]
• LRR [] [2016]
  • [Matconvnet]
• DUC, HDC [] [2017]
  • [PyTorch]
  • [PyTorch]
• MultiNet [] [2016]
• Segaware [] [2017]
  • [Caffe]
• Semantic Segmentation using Adversarial Networks [] [2016]
  • [Chainer]
• PixelDCN [] [2017]
  • [Tensorflow]
• ShuffleSeg [] [2018]
  • [TensorFlow]
• AdaptSegNet [] [2018]
  • [PyTorch]
• TuSimple-DUC [] [2018]
  • [MxNet]
• FPN [] [2017]
  • [Keras]
• R2U-Net [] [2018]
  • [PyTorch]
• Attention U-Net [] [2018]
  • [PyTorch]
  • [PyTorch]
• DANet [] [2018]
  • [PyTorch]
• ShelfNet [] [2018]
  • [PyTorch]
• LadderNet [] [2018]
  • [PyTorch]
• BiSeNet [] [2018]
  • [PyTorch]
  • [PyTorch]
• ESPNet [] [2018]
  • [PyTorch]
• DFN [] [2018]
  • [PyTorch]
• CCNet [] [2018]
  • [PyTorch]
• DenseASPP [] [2018]
  • [PyTorch]

 

Instance aware segmentation

• FCIS []
  • [MxNet]
• MNC []
  • [Caffe]
• DeepMask []
  • [Torch]
• SharpMask []
  • [Torch]
• Mask-RCNN []
  • [Tensorflow]
  • [Caffe]
  • [MxNet]
  • [Keras]
  • [PyTorch]
• RIS []
  • [Torch]
• FastMask []
  • [Caffe]
• BlitzNet []
  • [Tensorflow]
• PANet [] [2018]
  • [Caffe]
• TernausNetV2 [] [2018]
  • [PyTorch]

 

Weakly-supervised segmentation

• SEC []
  • [Caffe]

 

RNN

• ReNet []
  • [Lasagne]
• ReSeg []
  • [PyTorch]
  • [Lasagne]
• RIS []
  • [Torch]
• CRF-RNN []
  • [Caffe]
  • [Caffe]
  • [Tensorflow]
  • [Tensorflow]
  • [Keras]

 

GANS

• pix2pixHD [] [2018]
• Probalistic Unet [] [2018]

 

Graphical Models (CRF, MRF)

 

Datasets:

 

Benchmarks

• [PyTorch]
• [PyTorch]
• [Tensorflow]
• [Tensorflow]
• [Caffe+Matlab]
• [PyTorch]
• [PyTorch]
• [PyTorch]
• [Keras]
• [PyTorch]

 

Starter code

 

Annotation Tools:

 

Results:

 

Metrics

 

Losses

 

Other lists

 

Medical image segmentation:

• DIGITS

• U-Net: Convolutional Networks for Biomedical Image Segmentation

• Cascaded-FCN

• Keras

• Tensorflow

• Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)

• Papers:

  • Sliding window approach

• Data:

 

Satellite images segmentation

• Data:
  • SpaceNet[]

 

Video segmentation

 

Autonomous driving

• [Keras]

 

Other

 

Networks by framework (Older list)

• Keras

• TensorFlow

• Caffe

• torch

• MXNet

 

Papers and Code (Older list)

• Simultaneous detection and segmentation

• Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

• Learning to Propose Objects

• Nonparametric Scene Parsing via Label Transfer

• Other

 

To look at

 

Blog posts, other: