Insulator Anomaly Detection Method Based on Few-Shot Learning

Insulator Anomaly Detection Method Based on Few-Shot Learning

Due to the advantages of safety and economy, it has become a trend to use unmanned aerial vehicles (UAVs) instead of humans to inspect high-voltage transmission lines. Considering the manual inspection process and the few-shot learning, a two-stage method for insulator anomaly detection is proposed....

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Bibliographic Details
Main Authors: Zhaoyang Wang, Qiang Gao, Dong Li, Junjie Liu, Hongwei Wang, Xiao Yu, Yipin Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
few-shot learning
object detection
insulator anomaly detection
Online Access:https://ieeexplore.ieee.org/document/9395571/

Internet

https://ieeexplore.ieee.org/document/9395571/

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