ModuSeg enables training-free weakly supervised semantic segmentation by explicitly separating geometric object discovery from non-parametric semantic feature retrieval using existing mask proposers and foundation model feature banks.
In: Proceedings of the IEEE/CVF International Conference on Computer Vision
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CoCo-SAM3 improves SAM3 by aligning evidence from synonymous prompts for concept consistency and then running inter-class competition on a unified scale to reduce mask overlaps.
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ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation
ModuSeg enables training-free weakly supervised semantic segmentation by explicitly separating geometric object discovery from non-parametric semantic feature retrieval using existing mask proposers and foundation model feature banks.
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CoCo-SAM3: Harnessing Concept Conflict in Open-Vocabulary Semantic Segmentation
CoCo-SAM3 improves SAM3 by aligning evidence from synonymous prompts for concept consistency and then running inter-class competition on a unified scale to reduce mask overlaps.