FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization 事件

FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization arXiv:2605.31145v1 Announce Type: new Abstract: In-context localization (ICL) seeks to localize a target object specified by a small set of support examples in a query image, operating on the fly without training or parameter updates. Despite rapid advances in vision-language models (VLMs), achieving category-agnostic and visually grounded ICL remains an open problem, even though it is essen