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    • Multi-branch micro-expression recognition method based on multi-type features and multi-attention mechanism

    • In the field of micro expression recognition, experts have proposed a three branch network consisting of deep convolutional neural networks and shallow 3DCNN, which significantly improves recognition accuracy and effectively solves the problems of insufficient samples and difficulty in learning multiple types of features.
    • Vol. 30, Issue 7, Pages: 2420-2436(2025)   

      Received:15 August 2024

      Revised:07 December 2024

      Published:16 July 2025

    • DOI: 10.11834/jig.240440     

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  • Shen Tianshu, Chi Jing, Wang Yanbing, Lei Yanlei, Xu Ming. 2025. Multi-branch micro-expression recognition method based on multi-type features and multi-attention mechanism. Journal of Image and Graphics, 30(7):2420-2436 DOI: 10.11834/jig.240440.
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相关作者

Shen Tianshu 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Chijing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Wang Yanbing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Lei Yanlei 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Xuming 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Shi Zhenghao 西安理工大学计算机科学与工程学院
Wu Chenwei 西安理工大学计算机科学与工程学院
Li Chengjian 西安理工大学计算机科学与工程学院

相关机构

School of Computer and Artificial Intelligence, Shandong University of Finance and Economics
Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy
School of Computer Science and Engineering, Xi’an University of Technology
Key Laboratory of Aviation Science and Technology for Integrated Circuit and Microsystem Design, Xi’an Xiangteng Micro-Electronic Technology Co., Ltd.
Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology
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