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Taiyo Sato

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#computer vision Preprint Sep 2026

FORUM: Frozen Outputs Reconciled Using Model Agreement for Visual Grounding

ForUM is presented, a training-free test-time fusion of frozen MLLMs guided by two fixed geometric rules: agreement-based selection keeps the region supported by the most distinct models, and medoid localization returns an actual member box instead of a coordinate average, so one loose prediction cannot shift the answe...

Taiyo Sato, Takamasa Sanda, Keisuke Maeda et al. · 0 citations

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