AI RESEARCH
SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
arXiv CS.CV
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ArXi:2605.31597v1 Announce Type: new Measuring structured object understanding in vision foundation models remains challenging due to inconsistent evaluation protocols and limited part-level supervision. Semantic correspondence (SC) evaluates this capability by testing whether object parts can be matched across instances and categories under large variations in appearance, viewpoint, and geometry. To enable a systematic SC evaluation, we