Defects Detection of Catenary Suspension Device Based on Image Processing and CNN-Reference-Cited by-同舟云学术

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Defects Detection of Catenary Suspension Device Based on Image Processing and CNN

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Li Yongguang,Wei Dehua,Wei Xiukun,Wu Kuan,Liang Yong,Shen Xing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8975711/9002648/09003108.pdf?arnumber=9003108

Cited by 5 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 Self-Supervised Few-Shot Detection Method for Magnetic Tile Defects Detection;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

2. Defect Detection of Catenary Suspension Insulator Based on Image Processing and YOLOX;2022 34th Chinese Control and Decision Conference (CCDC);2022-08-15

3. Fault detection of overhead contact systems based on multi-view Faster R-CNN;Journal of Intelligent & Fuzzy Systems;2022-06-01

4. Online detection of external thread surface defects based on an improved template matching algorithm;Measurement;2022-05

5. A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance;IEEE Access;2022

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