Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network

In driving scenarios, automobile active safety systems are increasingly incorporating deep learning technology. These systems typically need to handle multiple tasks simultaneously, such as detecting fatigue driving and recognizing the driver's identity. However, the traditional parallel-style...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Qu, Shulei, Gao, Zhenguo, Chen, Xiaowei, Li, Na, Wang, Yakai, Wu, Xiaoxiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Deep learning Driver fatigue Face recognition Feature extraction Machine learning Modules
Online-Zugang:	Volltext
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