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

arXiv:2405.07845v1 Announce Type: new
Abstract: 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 approach of combining multiple single-task models tends to waste resources when dealing with similar tasks. Therefore, we propose a novel tree-style multi-task modeling approach for multi-task learning, which rooted at a shared backbone, more dedicated separate module branches are …

abstract arxiv attention automobile cs.cv deep learning detection driver drivers driving face face recognition fusion however identity multiple multi-task learning network recognition safety space style systems tasks technology tree type via