SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch

Understand

This paper presents SSSegmenation, which is an open source supervised semantic image segmentation toolbox based on PyTorch.

• The design of this toolbox is motivated by MMSegmentation while it is easier to use because of fewer dependencies and achieves superior segmentation performance under a comparable training and testing setup.
• Moreover, the toolbox also provides plenty of trained weights for popular and contemporary semantic segmentation methods, including Deeplab, PSPNet, OCRNet, MaskFormer, \emph{etc}.
• We expect that this toolbox can contribute to the future development of semantic segmentation.