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Updated: Sep 9, 2025

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

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基于反噪声学习和共变特征增强的食物图像识别

Zengzheng Chen1, Hao Chen1, Jianxin Wang1

  • 1School of Information, Beijing Forestry University, Beijing 100083, China.

Foods (Basel, Switzerland)
|August 28, 2025
PubMed
概括

这项研究引入了一种先进的食物图像识别方法,通过从噪音图像中学习和改进特征提取来提高准确性. 这种新的方法在基准数据集上取得了最先进的结果,在现实应用中显示出强大的性能.

关键词:
反噪声学习同变性特征增强食品的认可食品科学与技术知识的蒸

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