Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition

Convolutional neural networks (CNNs) have made significant progress in the field of facial expression recognition (FER). However, due to challenges such as occlusion, lighting variations, and changes in head pose, facial expression recognition in real-world environments remains highly challenging. A...

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Bibliografische Detailangaben

Hauptverfasser:	Nianfeng Li, Yongyuan Huang, Zhenyan Wang, Ziyao Fan, Xinyuan Li, Zhiguo Xiao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-06-01
Schriftenreihe:	Sensors
Schlagworte:	facial expression recognition lightweight network attention module transformer
Online-Zugang:	https://www.mdpi.com/1424-8220/24/13/4153
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