Decomposed Vision-Language Alignment framework factorizes prompts into concept and attribute tokens with Feature-Gated Cross-Attention for better compositional generalization in fine-grained open-vocabulary segmentation.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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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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Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
Decomposed Vision-Language Alignment framework factorizes prompts into concept and attribute tokens with Feature-Gated Cross-Attention for better compositional generalization in fine-grained open-vocabulary segmentation.
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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.