A Lorentz-model hyperbolic framework for semantic segmentation that integrates with Euclidean networks, provides free uncertainty maps, and is validated on ADE20K, COCO-Stuff, Pascal-VOC and Cityscapes using DeepLabV3, SegFormer, Mask2Former and MaskFormer.
Masked-attention mask trans- former for universal image segmentation
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Lorentz Framework for Semantic Segmentation
A Lorentz-model hyperbolic framework for semantic segmentation that integrates with Euclidean networks, provides free uncertainty maps, and is validated on ADE20K, COCO-Stuff, Pascal-VOC and Cityscapes using DeepLabV3, SegFormer, Mask2Former and MaskFormer.