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Updated: Jan 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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Published on: March 13, 2021

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通过视觉语言嵌入模型预测个人食品估值.

Hiroki Kojima1, Asako Toyama2,3, Shinsuke Suzuki2,4,5

  • 1Department of Information Medicine, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.

PLOS digital health
|October 28, 2025
PubMed
概括

现在可以使用对比性语言图像预训 (CLIP) 来预测个体的食物偏好. 这种人工智能方法分析食物图像,以了解个人口味和特征,优于旧的技术.

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