May 14, 2024, 4:47 a.m. | Prateek Chhikara, Dhiraj Chaurasia, Yifan Jiang, Omkar Masur, Filip Ilievski

cs.CV updates on arXiv.org arxiv.org

arXiv:2308.14391v2 Announce Type: replace
Abstract: Food computing has emerged as a prominent multidisciplinary field of research in recent years. An ambitious goal of food computing is to develop end-to-end intelligent systems capable of autonomously producing recipe information for a food image. Current image-to-recipe methods are retrieval-based and their success depends heavily on the dataset size and diversity, as well as the quality of learned embeddings. Meanwhile, the emergence of powerful attention-based vision and language models presents a promising avenue for …

abstract arxiv computing cs.cl cs.cv current dataset fire food image information intelligent intelligent systems recipe replace research retrieval success systems type

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