Fog-Adaptive-YOLO: A lightweight model for insulator defect detection.

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Title: Fog-Adaptive-YOLO: A lightweight model for insulator defect detection.
Authors: Jin X; Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an, China.; School of Electronic Information, Xijing University, Xi'an, China., Zhao Y; Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an, China.; School of Electronic Information, Xijing University, Xi'an, China., Shen W; Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an, China.; School of Electronic Information, Xijing University, Xi'an, China., Guo Z; Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an, China.; School of Electronic Information, Xijing University, Xi'an, China., Gao J; Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an, China.; School of Electronic Information, Xijing University, Xi'an, China., Yuan B; School of Electronic Information, Xijing University, Xi'an, China., Zhu X; School of Electronic Information, Xijing University, Xi'an, China.
Source: PloS one [PLoS One] 2026 Jun 11; Vol. 21 (6), pp. e0351054. Date of Electronic Publication: 2026 Jun 11 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0351054