FlowDIS uses flow matching to transport image distributions to mask distributions, optionally conditioned on text, and outperforms prior DIS methods by 5.5% on F_beta^omega and 43% on MAE.
Target refocusing via attention redistribution for open-vocabulary semantic seg- mentation: An explainability perspective
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative 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.
citing papers explorer
-
FlowDIS: Language-Guided Dichotomous Image Segmentation with Flow Matching
FlowDIS uses flow matching to transport image distributions to mask distributions, optionally conditioned on text, and outperforms prior DIS methods by 5.5% on F_beta^omega and 43% on MAE.
-
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.