Comparing class activation maps before and after affinity refinement identifies redundant classes, while inter-class overlap plus LLM descriptions resolve ambiguous ones, improving training-free open-vocabulary segmentation.
Grounding everything: Emerging localization properties in vision-language transformers
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Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
Comparing class activation maps before and after affinity refinement identifies redundant classes, while inter-class overlap plus LLM descriptions resolve ambiguous ones, improving training-free open-vocabulary segmentation.