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Updated: Sep 18, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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一个新的面部表情识别框架,使用基于深度学习的动态跨领域双重注意力网络

Ahmed Omar Alzahrani1, Ahmed Mohammed Alghamdi2, M Usman Ashraf3

  • 1Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Makkah, Saudi Arabia.

PeerJ. Computer science
|June 26, 2025
PubMed
概括

本研究介绍了一种新的动态跨域双重注意网络,通过学习域不变的全球和本地特征来改善面部表情识别,克服域转移带来的挑战.

关键词:
人工智能的人工智能是人工智能.跨领域的跨领域.深度学习是一种深度学习.面部表情识别 面部表情识别

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