From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models
Like Zhang, Runliang Niu, Shiqi Wang, Xiyu Hu et autres
Vision-language models (VLMs) are rapidly advancing toward sophisticated grounded structured visual reasoning. Training models for such advanced capabilities demands a new genre of data that seamlessly unifies spatial coordinates, open-vocabulary descriptions, structured attributes, and topological relationships into a singular representation. However, existing …
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arXiv (Cornell University)