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PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection

Pieri, Sara et al.
arXiv (All) · Papers
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Intelligent systems that act in the world require image understanding that is both comprehensive and spatially grounded. Current vision-language models (VLMs) can generate fluent and detailed image captions, but reliably associating them with image pixels remains challenging. Existing methods that c
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