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    • Two-stage vision transformer for fusing global and local features in distracted driving behavior recognition

    • In the field of distracted driving behavior recognition, researchers have proposed a two-stage ViT method that integrates global and local features, significantly improving accuracy and providing new ideas for classification task research.
    • Vol. 30, Issue 11, Pages: 3617-3633(2025)   

      Received:24 September 2024

      Revised:2025-04-06

      Accepted:15 April 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.240533     

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  • Wang T, Gao S B and Ren G. 2025. Two-stage vision transformer for fusing global and local features in distraction-driven driving behavior recognition. Journal of Image and Graphics, 30(11):3617-3633 DOI: 10.11834/jig.240533.
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相关作者

WANG Teng 淮阴工学院计算机与软件工程学院;江苏省可信固件与智能软件重点实验室
GAO Shangbing 淮阴工学院计算机与软件工程学院;江苏省可信固件与智能软件重点实验室
REN Gang 东南大学交通学院
Song Xiaogang 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Tan Yuping 西安理工大学计算机科学与工程学院
Guo Fuqiang 西安理工大学计算机科学与工程学院
Lu Xiaofeng 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Hei Xinhong 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心

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