A two-stage framework with visual support constraints and GRPO reinforcement learning enables a 7B model to outperform up to 72B-parameter models on category-agnostic in-context object localization.
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FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
A two-stage framework with visual support constraints and GRPO reinforcement learning enables a 7B model to outperform up to 72B-parameter models on category-agnostic in-context object localization.