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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:2024-05-16

      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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相关作者

Hu Zhangying 南京邮电大学通信与信息工程学院
Zhou Quan 南京邮电大学通信与信息工程学院
Chen Mingju 四川轻化工大学人工智能四川省重点实验室
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
Zheng Baoyu 南京邮电大学通信与信息工程学院
Hao Wen 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Zuo Zhanbin 西安理工大学计算机科学与工程学院

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
Department of Computer Science,Xi’an University of Technology
Shaanxi Key Laboratory for Network Computing and Security Technology
School of Computer Science,Northwestern Polytechnical University
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