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

no code implementations • 13 May 2024 • Shulei QU, Zhenguo Gao, Xiaowei Chen, Na Li, Yakai Wang, Xiaoxiao Wu

These systems typically need to handle multiple tasks simultaneously, such as detecting fatigue driving and recognizing the driver's identity.

Face Recognition Multi-Task Learning

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation

no code implementations • 13 May 2024 • Xiaoxiao Wu, Zhenguo Gao, Xiaowei Chen, Yakai Wang, Shulei QU, Na Li

Currently, most studies employ a prototype-based approach, in which prototypical networks are used to construct prototypes from the support set, guiding the processing of the query set to obtain the final results.

Few-Shot Learning Image Segmentation +2

Multi-Attention Fusion Drowsy Driving Detection Model

no code implementations • 28 Dec 2023 • Shulei QU, Zhenguo Gao, Xiaoxiao Wu, Yuanyuan Qiu

Drowsy driving represents a major contributor to traffic accidents, and the implementation of driver drowsy driving detection systems has been proven to significantly reduce the occurrence of such accidents.