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Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model
June 21, 2024, 4:52 a.m. | Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
cs.CV updates on arXiv.org arxiv.org
Abstract: The ability of large language models (LLMs) to process visual inputs has given rise to general-purpose vision systems, unifying various vision-language (VL) tasks by instruction tuning. However, due to the enormous diversity in input-output formats in the vision domain, existing general-purpose models fail to successfully integrate segmentation and multi-image inputs with coarse-level tasks into a single framework. In this work, we introduce VistaLLM, a powerful visual system that addresses coarse- and fine-grained VL tasks over …
arxiv cs.ai cs.cv designing general jack language language model master replace tasks type vision vision-language
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