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Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
The main features of tramac/awesome-semantic-segmentation-pytorch are: Segmentation Tools and Utilities.
Open-source alternatives to tramac/awesome-semantic-segmentation-pytorch include: csailvision/sceneparsing. csailvision/semantic-segmentation-pytorch — This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing dataset… georgeseif/semantic-segmentation-suite — Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily! hszhao/semseg — Semantic Segmentation in Pytorch. junma11/segloss. bloodaxe/segmentation-networks-benchmark.
This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing dataset (http://sceneparsing.csail.mit.edu/).
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!