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    • FixMatch++: A method for expanding limited image label data based on semi-supervised learning

    • Experts propose the FixMatch++framework to improve semi supervised learning, solve the problem of deep vision models relying on large-scale annotated data, enhance the efficiency of unlabeled data utilization, optimize feature extraction and fusion, significantly reduce classification error rates, and open up new directions for image classification research.
    • Pages: 1-14(2025)   

      Revised:2025-10-01

      Accepted:17 December 2025

      Online First:17 December 2025

    • DOI: 10.11834/jig.250398     

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  • Yang Yuqing, Chen Yi, Lv Cheng. FixMatch++: A method for expanding limited image label data based on semi-supervised learning[J/OL]. Journal of Image and Graphics,2025,1-14. DOI: 10.11834/jig.250398. DOI:
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相关作者

Sijing Ding 清华大学计算机科学与技术系;北京航空航天大学数学与系统科学学院
Zhongyang Sun 清华大学计算机科学与技术系;广东省大数据分析与处理重点实验室
Yankui Sun 清华大学计算机科学与技术系;广东省大数据分析与处理重点实验室
Yongge Wang 北京航空航天大学数学与系统科学学院
Yuan Wan 武汉理工大学理学院
Xiaoli Chen 武汉理工大学理学院
Jinghui Zhang 武汉理工大学理学院
Zhuoling Ou 武汉理工大学理学院

相关机构

Department of Computer Science and Technology, Tsinghua University
School of Mathematics and Systems Science, Beihang University
Guangdong Key Laboratory of Big Data Analysis and Processing
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