Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments

Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments

Abstract Insulator defect detection is crucial for the stable operation of power systems. It has become a mainstream research direction to realise insulator defect detection based on the combination of line images captured by UAVs and deep learning techniques. However, the existing high‐quality insu...

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Bibliographic Details
Main Authors: Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Computer Vision
Subjects:
big data
learning (artificial intelligence)
mobile computing
object detection
Online Access:https://doi.org/10.1049/cvi2.12290
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https://doi.org/10.1049/cvi2.12290

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