PA-DETR: End-to-End Visually Indistinguishable Bolt Defects Detection Method Based on Transmission Line Knowledge Reasoning

Author:

Zhang Ke1ORCID,Lou Wenshuo2ORCID,Wang Jiacun3ORCID,Zhou Ruiheng2ORCID,Guo Xiwang4ORCID,Xiao Yangjie2ORCID,Shi Chaojun1ORCID,Zhao Zhenbing1ORCID

Affiliation:

1. Department of Electronic and Communication Engineering and the Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, China

2. Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China

3. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

4. College of Computer and Communication Engineering, Liaoning Shihua University, Fushun, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference50 articles.

1. Intelligent monitoring system of transmission line hazards based on deep learning;li;J Nantong Univ,2018

2. Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints

3. The recognition and localization of insulators adopting SURF and IFS based on correlation coefficient

4. Insulator Detection Method in Inspection Image Based on Improved Faster R-CNN

5. State recognition of transmission line tower based on image technology;zhao;Proc 25th Annu Academic Conf Power Syst Automat Chin Univ (CUACEPSA),2009

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