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    • Semi-supervised facial expression recognition robust to head pose empowered by dual consistency constraints

    • “In the field of facial expression recognition, experts have proposed a dual consistency semi supervised method that significantly improves the accuracy of facial expression recognition under changes in head posture, providing a solution to the problem of the impact of head posture on facial expression recognition.”
    • Vol. 30, Issue 2, Pages: 435-450(2025)   

      Received：11 April 2024，

      Revised：14 June 2024，

      Published：16 February 2025

    • DOI： 10.11834/jig.240205     

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  • Wang Yujian， He Jun， Zhang Jianxun， Sun Renhao， Liu Xueliang. 2025. Semi-supervised facial expression recognition robust to head pose empowered by dual consistency constraints. Journal of Image and Graphics， 30(02):0435-0450 DOI： 10.11834/jig.240205.
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Song Xiaoning 江苏科技大学计算机科学与工程学院;江苏尚博信息科技有限公司,博士后工作站;南京理工大学计算机科学与技术学院
YANG Jingyu 南京理工大学计算机科学与技术学院
Yang Xibei 江苏科技大学计算机科学与工程学院;江苏尚博信息科技有限公司,博士后工作站
Wang Mei 北京师范大学人工智能学院
Deng Weihong 北京邮电大学人工智能学院
Su Sen 北京邮电大学人工智能学院
Bai Yanfeng 华北电力大学控制与计算机工程学院
Wang Libiao 华北电力大学控制与计算机工程学院

相关机构

School of Computer Science & Engineering, Jiangsu University of Science & Technology
Post-Doctoral Research Center, Jiangsu Sunboon Information Technology Co., Ltd
School of Computer Science & Technology, Nanjing University of Science & Technology
School of Artificial Intelligence, Beijing University of Posts and Telecommunications
School of Artificial Intelligence, Beijing Normal University
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