A weakly supervised localizer that builds a coarse class-aware map with a transformer, then picks the best SAM mask from a grid-prompted gallery by pixel-level overlap.
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Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
A weakly supervised localizer that builds a coarse class-aware map with a transformer, then picks the best SAM mask from a grid-prompted gallery by pixel-level overlap.