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Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Liao, Yuan-Hong, Mahmood, Rafid, Fidler, Sanja, Acuna, David
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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