A Lightweight YOLOv4-EDAM Model for Accurate and Real-time Detection of Foreign Objects Suspended on Power Lines
Author:
Affiliation:
1. Department of Energy and Electrical Engineering, Nanchang University, Nanchang, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/61/10079224/09916139.pdf?arnumber=9916139
Reference36 articles.
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5. A Deep Learning Method to Detect Foreign Objects for Inspecting Power Transmission Lines
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