Journal of Optoelectronics · Laser, Volume. 35, Issue 1, 21(2024)

Hot-rolled steel strip surface defects detection based on CA-YOLOv5

YANG Senquan1, DING Fan1, WEN Haoxiang1, LI Pu1,2, and HU Songxi1,2、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(12)

    [5] [5] DOMEN T,SAMO S,SKVARC J,et al.Segmentation-based deep-learning approach for surface-defect detection[J].Journal of Intelligent Manufacturing,2020,31(3):759-776.

    [6] [6] KOU X,LIU S,CHENG K,et al.Development of a YOLO-V3-based model for detecting defects on steel strip surface[J].Measurement, 2021(1-4):109454.

    [9] [9] JOSEPH R,FARHAD A.YOLO9000:Better,faster,stronger[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Honolulu,USA.New York:IEEE,2017:6517-6525.

    [10] [10] LIN T Y,DOLLAR P,GIRSHICK R, et al.Feature pyramid networks for object detection[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Honolulu,USA.New York:IEEE,2017:936-944.

    [11] [11] LIU S,QI L,QIN H,et al.Path aggregation network for instance segmentation[C]//2018 IEEE Conference on Computer Vision and Pattern Recognition,June 18-22,2018,Salt Lake city,USA.New York:IEEE,2018:8759-8768.

    [12] [12] ZHENG Z,WANGP,LIU W,et al.Distance-IoU loss:Faster and better learning for bounding box regression[C]//AAAI Conference on Artificial Intelligence,February 7-12,2020,New York City,USA.California:AAAI, 2020,34(7):12993-13000.

    [13] [13] WANG C Y,BOCHKOVSKI A,LIAO H Y M.Scaled-YOLOv4:scaling cross stage partial network[C] //2021 IEEE Conference on Computer Vision and Pattern Recognition,June 19-25,2021,Virtual,USA. New York:IEEE,2021:13024-13033.

    [14] [14] MIRJALILI S.Genetic algorithm[M]//Evolutionary algorithms and neural networks.Singapore:Springer,2019:43-55.

    [15] [15] HOU Q,ZHOU D,FENG J.Coordinate attention for efficient mobile network design[C]//2021 IEEE Conference on Computer Vision and Pattern Recognition,June 19-25,2021,Virtual,USA.New York:IEEE,2021:13713-13722.

    [16] [16] WU Y,CHEN Y,YUAN L,et al.Rethinking classification and localization for object detection[C]//2020 IEEE Conference on Computer Vision and Pattern Recognition,June 19-25,2020,Virtual,USA.New York: IEEE,2020:10186-10195.

    [17] [17] SONG K,YAN Y.A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects[J].Applied Surface Science,2013,285:858-864.

    [18] [18] ZHENG L,SHEN L,TIAN L,et al.Scalable person re-identification:a benchmark[C]//2015 IEEE International Conference on Computer Vision,December 13-16,2015,Santiago,Chile.New York:IEEE,2015:1116-1124.

    Tools

    Get Citation

    Copy Citation Text

    YANG Senquan, DING Fan, WEN Haoxiang, LI Pu, HU Songxi. Hot-rolled steel strip surface defects detection based on CA-YOLOv5[J]. Journal of Optoelectronics · Laser, 2024, 35(1): 21

    Download Citation

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

    Received: Aug. 12, 2022

    Accepted: --

    Published Online: Sep. 24, 2024

    The Author Email: HU Songxi (kobe1983@foxmail.com)

    DOI:10.16136/j.joel.2024.01.0583

    Topics