Lightweight of Intelligent Real-Time Detection Model Based on YOLO-v4-Reference-Cited by-同舟云学术

Lightweight of Intelligent Real-Time Detection Model Based on YOLO-v4

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)
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Author:

Cui Junfeng¹,Wang Donglin¹,Li Haibing¹,Zhang Wenbin¹,Zhang Junmin¹,Zhang Guoliang²

Affiliation:

1. Jiangsu Electric Power Co.,Ltd.,Suzhou,China

2. Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory State Grid Smart Grid Research Institute Co.Ltd.,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951325/9951447/09951542.pdf?arnumber=9951542

Reference15 articles.

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3. Fittings detection method in patrol images of transmission line;yincheng;Electrical Measurement & Instrumentation,2019

4. State Recognition of Electric Control Cabinet Switches Based on CNNs

5. Substation switchgear detection and state recognition based on Hough forest;jianxiong;Automation of Electric Power Systems,2016

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