Inference-time α-entmax sparsification of CLIP’s final self-attention denoises diffuse mass and lifts dense open-vocabulary segmentation and region retrieval in proportion to baseline off-class spread.
In: European Conference on Computer Vision
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2representative citing papers
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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Sparse Attention for Dense Open-Vocabulary Prediction in CLIP
Inference-time α-entmax sparsification of CLIP’s final self-attention denoises diffuse mass and lifts dense open-vocabulary segmentation and region retrieval in proportion to baseline off-class spread.
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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.