LLMs-based augmentation for domain adaptation in long-tailed food datasets

Training a model for food recognition is challenging because the training samples, which are typically crawled from the Internet, are visually different from the pictures captured by users in the free-living environment. In addition to this domain-shift problem, the real-world food datasets tend to...

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Main Authors: WANG, Qing, NGO, Chong-wah, LIM, Ee-peng, SUN, Qianru
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語言:English
出版: Institutional Knowledge at Singapore Management University 2025
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/10103
https://ink.library.smu.edu.sg/context/sis_research/article/11103/viewcontent/LLM_Based_Food_2025_av.pdf
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機構: Singapore Management University
語言: English