FRRN [https://arxiv.org/pdf/1611.08323.pdf] [2016]
https://github.com/TobyPDE/FRRN [Lasagne]
GCN [https://arxiv.org/pdf/1703.02719.pdf] [2017]
https://github.com/ZijunDeng/pytorch-semantic-segmentation [PyTorch]
https://github.com/ycszen/pytorch-seg [PyTorch]
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]
https://github.com/ZijunDeng/pytorch-semantic-segmentation [PyTorch]
https://github.com/ycszen/pytorch-seg [PyTorch]
MultiNet [https://arxiv.org/pdf/1612.07695.pdf] [2016]
https://github.com/MarvinTeichmann/MultiNet
https://github.com/MarvinTeichmann/KittiSeg
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]
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