Cargando…
Insulators' Identification and Missing Defect Detection in Aerial Images Based on Cascaded YOLO Models
Insulators identification and their missing defect detection are of paramount importance for the intelligent inspection of high-voltage transmission lines. As the backgrounds are complex, some insulators may be occluded, and the missing defect of the insulator is so small that it is not easily detec...
Autores principales: | Liu, Jingjing, Liu, Chuanyang, Wu, Yiquan, Sun, Zuo, Xu, Huajie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402330/ https://www.ncbi.nlm.nih.gov/pubmed/36035858 http://dx.doi.org/10.1155/2022/7113765 |
Ejemplares similares
-
Efficient-Lightweight YOLO: Improving Small Object Detection in YOLO for Aerial Images
por: Hu, Mengzi, et al.
Publicado: (2023) -
UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective
por: Liu, Mingjie, et al.
Publicado: (2020) -
WD-YOLO: A More Accurate YOLO for Defect Detection in Weld X-ray Images
por: Pan, Kailai, et al.
Publicado: (2023) -
Deep Learning Approaches on Defect Detection in High Resolution Aerial Images of Insulators
por: Wen, Qiaodi, et al.
Publicado: (2021) -
YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Selection in Aerial Imagery
por: Betti, Alessandro, et al.
Publicado: (2023)