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Bridge crack detection method based on rotation self-attention improved Mask RCNN
更新时间：2026-02-03

    • Bridge crack detection method based on rotation self-attention improved Mask RCNN

    • “A new breakthrough has been made in the field of bridge engineering, and relevant experts have proposed an improved Mask RCNN bridge crack detection method based on rotational self attention, which significantly improves the detection accuracy and provides strong technical support for bridge safety monitoring.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 11, Pages: 3660-3672(2025)
    • 作者机构：

      1.兰州交通大学 电子与信息工程学院，兰州 730070

      2.甘肃省人工智能与图形图像处理工程研究中心， 兰州 730070

    • DOI：10.13229/j.cnki.jdxbgxb.20240122    

      CLC： U446.3

    • Received：30 January 2024，

      Published：01 November 2025

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  • CHEN Yong,ANZHUO Ao-bo,ZHANG Jiao-jiao.Bridge crack detection method based on rotation self-attention improved Mask RCNN[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(11):3660-3672. DOI： 10.13229/j.cnki.jdxbgxb.20240122.

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