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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
Ding Weilong 浙江工业大学计算机科学技术学院
Deng Rongrong 浙江工业大学计算机科学技术学院
Xu Lifeng 浙江工业大学计算机科学技术学院
Wang Chunnian 宁波市临床病理诊断中心
Zhu Xingqin 宁波市临床病理诊断中心

相关机构

College of Computer Science and Technology, Zhejiang University of Technology
Ningbo Diagnostic Pathology Center
Shanghai Paiying Medical Science and Technology Limited Company
School of Computer and Artificial Intelligence, Shandong University of Finance and Economics, Ji’nan
Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Ji’nan
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