TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition-Reference-Cited by-同舟云学术

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TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition

Published:2021 Issue: Volume:9 Page:125955-125969
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Dichao^ORCID,Yamasaki Toshihiko^ORCID,Wang Yu^ORCID,Mase Kenji,Kato Jien^ORCID

Funder

Ph.D. Professional Toryumon Program of Nagoya University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09527204.pdf?arnumber=9527204

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Action Recognition in Vehicle Environments With Human Pose Information;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05

2. A Sparse Spatiotemporal Transformer for Detecting Driver Distracted Behaviors;SAE Technical Paper Series;2023-04-11

3. Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering;IEEE Transactions on Intelligent Vehicles;2023-01

4. Distracted Driver Posture Recognition;2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT);2022-10-07

5. Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021);Engineering Applications of Artificial Intelligence;2022-10

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