Insulator defect detection based on improved YOLOv11n
Image Processing|更新时间:2026-06-12
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Insulator defect detection based on improved YOLOv11n
Chinese Journal of Liquid Crystals and DisplaysVol. 41, Issue 5, Pages: 687-699(2026)
作者机构:
1.四川轻化工大学 自动化与信息工程学院, 四川 宜宾 644000
2.智能感知与控制四川省重点实验室, 四川 宜宾 644000
作者简介:
基金信息:
National Natural Science Foundation of China(42405145);Science and Technology Department of Sichuan Province(2024YFHZ0026);Natural Science Foundation of Sichuan Province(2025ZNSFSC0477;2024NSFSC2042)
LEI Dewei, LIN Guojun, MA Run, et al. Insulator defect detection based on improved YOLOv11n[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(5): 687-699.
DOI:
LEI Dewei, LIN Guojun, MA Run, et al. Insulator defect detection based on improved YOLOv11n[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(5): 687-699.DOI: 10.37188/CJLCD.2026-0053. CSTR: 32172.14.CJLCD.2026-0053.
Insulator defect detection based on improved YOLOv11n