SegMAN combines local neighborhood attention and Mamba state space scanning in a hybrid encoder-decoder to achieve strong semantic segmentation results on ADE20K, Cityscapes, and COCO-Stuff.
Coco- stuff: Thing and stuff classes in context
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SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
SegMAN combines local neighborhood attention and Mamba state space scanning in a hybrid encoder-decoder to achieve strong semantic segmentation results on ADE20K, Cityscapes, and COCO-Stuff.