Improved Xception with Local Dense Connections and Transition Layer for Facial Expression Recognition

Traditional deep convolutional neural networks are used for facial expression recognition, which makes the number of neurons and parameters huge, wastes computing resources, and even causes problems such as overfitting and network degradation. Meanwhile, single-scale expression features cannot descr...

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书目详细资料
发表在:Proceedings of 2024 3rd International Conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2024
主要作者: 2-s2.0-85219174176
格式: Conference paper
语言:English
出版: Association for Computing Machinery, Inc 2025
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219174176&doi=10.1145%2f3707292.3707398&partnerID=40&md5=1f7308a3da4526322d8aa6a17186e516