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Updated: Jun 1, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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一般化交叉透损失用于训练带有噪音标签的深度神经网络

Zhilu Zhang1, Mert R Sabuncu1

  • 1Electrical and Computer Engineering, Meinig School of Biomedical Engineering Cornell University.

Advances in neural information processing systems
|January 22, 2025
PubMed
概括

新的噪声强度损失函数将深度神经网络 (DNN) 的平均绝对误差 (MAE) 和分类交叉 (CCE) 概括为一般. 这些新的功能提高了带有噪音标签的数据集的性能,解决了现有方法的局限性.

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