Laser Journal, Volume. 45, Issue 7, 118(2024)

Surface defect detection of solar cells based on improved YOLOX-S

WANG Shuqing... ZHU Wenxin, ZHANG Ziyan and WANG Juan |Show fewer author(s)
Author Affiliations
  • School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
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    References(6)

    [3] [3] Zhang X, Hou T, Hao Y, et al. Surface Defect Detection of Solar Cells Based on Multiscale Region Proposal Fusion Network[J]. IEEE Access, 2021, 9: 62093-62101.

    [8] [8] Ge Z, Liu S, Wang F, et al. Yolox: Exceeding yolo series in 2021[J]. arXiv preprint arXiv: 2107.08430, 2021.

    [10] [10] Zhang X, Zhang Y, Hu M, et al. Insulator defect detection based on YOLO and SPP-Net[C]//2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2020: 403-407.

    [11] [11] Abrahamyan L, Ziatchin V, Chen Y, et al. Bias loss for mobile neural networks[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 6556-6566.

    [12] [12] Dai Y, Gieseke F, Oehmcke S, et al. Attentional Feature Fusion[J]. arXiv preprint arXiv: 2009.14082, 2020.

    [13] [13] Ma N, Zhang X, Sun J. Funnel activation for visual recognition[C]//Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI 16. Springer International Publishing, 2020: 351-368.

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    WANG Shuqing, ZHU Wenxin, ZHANG Ziyan, WANG Juan. Surface defect detection of solar cells based on improved YOLOX-S[J]. Laser Journal, 2024, 45(7): 118

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    Paper Information

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    Received: Nov. 25, 2023

    Accepted: Dec. 20, 2024

    Published Online: Dec. 20, 2024

    The Author Email:

    DOI:10.14016/j.cnki.jgzz.2024.07.118

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