Multi-scale self-attention network: A light and fast circuit detection method-Reference-Cited by-同舟云学术

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Multi-scale self-attention network: A light and fast circuit detection method

Published:2025-10 Issue: Volume:247 Page:111716
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zhu Changsheng^ORCID,Cao Hang,Li Tianyu,Li Jingjie,Wang Yongxin,Wang Suchao

Publisher

Elsevier BV

Reference38 articles.

1. CI-YOLO: A lightweight foreign object detection model for inspecting transmission line;Bin;Measurement,2025

2. Improved YOLOv5s-based algorithm for foreign object intrusion detection on overhead transmission lines;Li;Energy Rep.,2024

3. EpNet: Power lines foreign object detection with edge proposal network and data composition;Su;Knowl.-Based Syst.,2022

4. A novel foreign object detection method in transmission lines based on improved YOLOv8n;Liu;Comput. Mater. Contin.,2024

5. Statistical characterization of reliability indices in medium voltage networks using a Monte Carlo-based method;Clavijo-Blanco;Electr. Power Syst. Res.,2024

Cited by 1 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. A lightweight visual detection method for maritime autonomous surface ships in port area navigation;Digital Signal Processing;2025-12

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