Electrical Insulator Defects Detection Method Based on YOLOv5-Reference-Cited by-同舟云学术

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Electrical Insulator Defects Detection Method Based on YOLOv5

Published:2021-05-14 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Feng Zhiqiang,Guo Li,Huang Darong,Li Runze

Funder

National Natural Science Foundation (NNSF) of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9455434/9455362/09455519.pdf?arnumber=9455519

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Federated Learning with Multi-Method Adaptive Aggregation for Enhanced Defect Detection in Power Systems;Big Data and Cognitive Computing;2024-09-02

2. SSE-YOLOv5: a real-time fault line selection method based on lightweight modules and attention models;Journal of Real-Time Image Processing;2024-05-29

3. Aerial Inspection of High-Voltage Power Lines Using YOLOv8 Real-Time Object Detector;Energies;2024-05-24

4. A lightweight YOLOv5 model for small insulator defect detection;Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023);2024-05-13

5. Combining Image Classification and Unmanned Aerial Vehicles to Estimate the State of Explorer Roses;AgriEngineering;2024-04-16

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