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    Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 24 >Page 2415006 > Article
    • Laser & Optoelectronics Progress
    • Vol. 59, Issue 24, 2415006 (2022)
    Real-Time Optical Fiber End Surface Defects Detection Model Based on Lightweight Improved Network
    Minyu Song1, Lirong Chen1,*, Jian'an Liang1, Jinpeng Li1..., Zhenzhen Niu1, Zhen Wang1 and Lili Bai2|Show fewer author(s)
    Author Affiliations
  • 1College of Physics and Electronic Engineering, Shanxi University, Taiyuan 030006, Shanxi, China
  • 2College of Aeronautics and Astronautics, Taiyuan University of Technology, Taiyuan 030006, Shanxi, China
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    DOI: 10.3788/LOP202259.2415006 Cite this Article Set citation alerts
    Minyu Song, Lirong Chen, Jian'an Liang, Jinpeng Li, Zhenzhen Niu, Zhen Wang, Lili Bai. Real-Time Optical Fiber End Surface Defects Detection Model Based on Lightweight Improved Network[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2415006 Copy Citation Text show less
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    Article index updated: Mar. 25, 2025
    The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)
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    Minyu Song, Lirong Chen, Jian'an Liang, Jinpeng Li, Zhenzhen Niu, Zhen Wang, Lili Bai. Real-Time Optical Fiber End Surface Defects Detection Model Based on Lightweight Improved Network[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2415006
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    Paper Information
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