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    • Double-pooling residual classification network based on feature reordering attention mechanism

    • In the field of image classification, FDPRNet significantly improves classification accuracy and model generalization ability through feature reordering attention mechanism and dual pooling residual structure.
    • Vol. 30, Issue 1, Pages: 110-129(2025)   

      Received:04 February 2024

      Revised:13 May 2024

      Published:16 January 2025

    • DOI: 10.11834/jig.240061     

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  • Yuan Heng, Liu Jie, Jiang Wentao, Liu Wanjun. 2025. Double-pooling residual classification network based on feature reordering attention mechanism. Journal of Image and Graphics, 30(01):0110-0129 DOI: 10.11834/jig.240061.
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Bei Lu 南昌航空大学信息工程学院
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相关机构

School of Information Engineering, Nanchang Hangkong University
Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition
College of Electric and Power Engineering, Taiyuan University of Technology
College of Data Science, Taiyuan University of Technology
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
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