Learning Context-Conditioned Predicate Semantics via Prototype Feedback 事件

Learning Context-Conditioned Predicate Semantics via Prototype Feedback arXiv:2605.29610v1 Announce Type: new Abstract: In scene graph generation, a central challenge is modeling polysemous predicates whose meanings shift across contexts. Prior approaches address this issue by decomposing predicates into multiple static prototypes or retrieving semantically similar exemplars. However, these strategies keep predicate representations static and cannot reorganize semantics to reflect image-specifi