SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models 事件

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models arXiv:2605.31597v1 Announce Type: new Abstract: 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