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Research questionHow can multimodal models jointly learn region captioning and spatial localization without text annotations?Region captioning must produce descriptions that distinguish visual content, while localization must recover the corresponding spatial region. Jointly learning both capabilities is difficult when textual annotations are unavailable.
AI
Computer Vision
Machine Learning
Multimodal Models
Reinforcement Learning
Latest papersRecent research connected to this question, newest first.Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPOThe source describes a single MLLM trained from region inputs such as masks or bounding boxes, using a region-to-text-to-region cycle without textual ground truths. It reports results for region captioning, region VQA, grounded dialogue, and referring segmentation; deployment constraints are not specified.research paper · Sep 2, 2026
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