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Solar cell defect detection network combining multiscale feature and attention
Information Sciences | 更新时间：2024-10-23

    • Solar cell defect detection network combining multiscale feature and attention

    • “In the field of surface defect detection of solar cells, the CMFAnet algorithm significantly improves detection accuracy and reduces missed detection rates by integrating multi-scale features and attention mechanisms.”
    • Optics and Precision Engineering   Vol. 32, Issue 14, Pages: 2286-2298(2024)

    • DOI：10.37188/OPE.20243214.2286    

      CLC： TP391.41

    • Received：04 December 2023，

      Revised：20 February 2024，

      Published：25 July 2024

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  • ZHOU Ying,XU Shibo,CHEN Haiyong,et al.Solar cell defect detection network combining multiscale feature and attention[J].Optics and Precision Engineering,2024,32(14):2286-2298. DOI： 10.37188/OPE.20243214.2286.

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