A Few-Shot Defect Detection Method for Transmission Lines Based on Meta-Attention and Feature Reconstruction

A Few-Shot Defect Detection Method for Transmission Lines Based on Meta-Attention and Feature Reconstruction

In tasks of transmission line defect detection, traditional object detection algorithms are ineffective, with few training samples of defective components. Meta-learning uses multi-task learning as well as fine-tuning to learn common features in different tasks, which has the ability to adapt to new...

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Bibliographic Details
Main Authors: Yundong Shi, Huimin Wang, Chao Jing, Xingzhong Zhang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
few-shot learning
meta-attention
transmission lines
defects detection
feature regeneration
Online Access:https://www.mdpi.com/2076-3417/13/10/5896

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