Infrared Technology, Volume. 46, Issue 6, 721(2024)

Infrared Image Recognition Method for Power Equipment Based on Improved YOLO v5

Xiaodong WANG*, Tongfa LYU, Mingzheng BAO, Yongchun HE, Peng XIN, and Tao WU
Author Affiliations
  • [in Chinese]
  • show less
    References(3)

    [17] [17] Tianchi J, LI Qiang, MAOSONG L, et al. Target detection method combining inverted residual block and YOLO v3[J]. Transducer and Microsystem Technologies, 2019, 36(11): 56-61.

    [19] [19] WU D, LV S, JIANG M, et al. Using channel pruning-based YOLOv4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments[J]. Computers and Electronics in Agriculture, 2020, 178(5): 174-178.

    [20] [20] Selvaraju R R, Cogswell M, Das A, et al. Grad-CAM: visual explanations from deep networks via gradient based localization[C]//2017 IEEE International Conference on Computer Vision, 2017: 102-105.

    Tools

    Get Citation

    Copy Citation Text

    WANG Xiaodong, LYU Tongfa, BAO Mingzheng, HE Yongchun, XIN Peng, WU Tao. Infrared Image Recognition Method for Power Equipment Based on Improved YOLO v5[J]. Infrared Technology, 2024, 46(6): 721

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Mar. 10, 2022

    Accepted: --

    Published Online: Sep. 20, 2024

    The Author Email: Xiaodong WANG (13951423028@139.com)

    DOI:

    CSTR:32186.14.

    Topics