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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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 |