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Updated: Jul 24, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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强大的人类面部情绪分类使用三重损失基于深度CNN特征和SVM.

Irfan Haider1, Hyung-Jeong Yang1, Guee-Sang Lee1

  • 1Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju 500-757, Republic of Korea.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

这项研究引入了一种新的方法来检测人类面部情绪,使用定制的ResNet18模型与三重损失和SVM分类. 该方法在基准数据集上实现了高精度,改善了面部情绪识别性能.

关键词:
在ResNet18中使用ResNet18在SVM中,SVM是SVM.情绪的分类 情绪的分类转移学习转移学习三倍损失的三倍损失.

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