Attention-Guided Multitask Convolutional Neural Network for Power Line Parts Detection

Author:

Zhang Hui1ORCID,Wu Liuchen2ORCID,Chen Yurong1ORCID,Chen Ruibo2ORCID,Kong Senlin2ORCID,Wang Yaonan1ORCID,Hu Jianwen2ORCID,Wu Jonathan3ORCID

Affiliation:

1. School of Robotics and the National Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, China

2. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China

3. Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada

Funder

National Key Research and Development Program of China

Major Research plan of the National Natural Science Foundation of China

National Natural Science Foundation of China

Hunan Science Fund for Distinguished Young Scholars

Hunan key research and development program

Chang Sha Science and Technology Major Project

Joint Open Foundation of State Key Laboratory of Robotics

China University Industry-University-Research Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 42 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. Fault detection method for transmission line components based on lightweight GMPPD-YOLO;Measurement Science and Technology;2024-09-02

2. Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

3. Automatic Vectorization of Power Lines from Airborne Lidar Point Clouds;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-11

4. A Fault Detection Method for Power Transmission Lines Using Aerial Images;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

5. Bibliometric review of measurement uncertainty: Research classification and future tendencies;Measurement;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3