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    • BSGAN-GP： a semi-supervised image recognition model driven by class balancing

    • “In the field of image recognition, experts have proposed the BSGAN-GP model, which effectively improves the accuracy of minority class recognition and provides a new solution for deep learning image recognition.”
    • Vol. 30, Issue 1, Pages: 95-109(2025)   

      Received：07 January 2024，

      Revised：16 May 2024，

      Published：16 January 2025

    • DOI： 10.11834/jig.230881     

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  • Hu Jing， Zhang Rumin， Lian Bingquan. 2025. BSGAN-GP： a semi-supervised image recognition model driven by class balancing. Journal of Image and Graphics， 30(01):0095-0109 DOI： 10.11834/jig.230881.
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Hu Zhangying 南京邮电大学通信与信息工程学院
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Cui Jingcheng 南京邮电大学通信与信息工程学院
Wu Xiaofu 南京邮电大学通信与信息工程学院
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Yu Lingxiao 南京航空航天大学计算机科学与技术学院
Hao Jie 南京航空航天大学计算机科学与技术学院;软件新技术与产业化协同创新中心

相关机构

School of communication and information engineering, Nanjing University of Posts and Telecommunications
Artificial Intelligence of Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering
School of Computer Science and Technology， Nanjing University of Aeronautics and Astronautics
Center for Collaborative Innovation in Software Technology and Industrialization
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