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Gear surface defect segmentation algorithm based on multi-scale feature fusion and block-wise attention
Micro/Nano Technology and Fine Mechanics | 更新时间：2026-01-15

    • Gear surface defect segmentation algorithm based on multi-scale feature fusion and block-wise attention

    • “In the field of gear defect detection, researchers have proposed a segmentation network based on multi-scale feature fusion and block attention, which effectively improves the representation ability of gear visual features and the detection performance of small defects.”
    • Optics and Precision Engineering   Vol. 33, Issue 22, Pages: 3536-3548(2025)

    • DOI：10.37188/OPE.20253322.3536    

      CLC： TP394.1;TH132.429
    • CSTR：32169.14.OPE.20253322.3536    

    • Received：30 September 2025，

      Revised：2025-10-22，

      Published：25 November 2025

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  • ZHAO Lin,MA Siqi,FANG Yiming,et al.Gear surface defect segmentation algorithm based on multi-scale feature fusion and block-wise attention[J].Optics and Precision Engineering,2025,33(22):3536-3548. DOI： 10.37188/OPE.20253322.3536. CSTR： 32169.14.OPE.20253322.3536.

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