CGTD-Net: Channel-Wise Global Transformer-Based Dual-Branch Network for Industrial Strip Steel Surface Defect Detection-Reference-Cited by-同舟云学术

CGTD-Net: Channel-Wise Global Transformer-Based Dual-Branch Network for Industrial Strip Steel Surface Defect Detection

Published:2024-02-15 Issue:4 Volume:24 Page:4863-4873
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Liu Huan¹^ORCID,Chen Chao¹,Hu Ruikuan¹,Bin Junchi²^ORCID,Dong Haobin¹,Liu Zheng³

Affiliation:

1. School of Automation, China University of Geosciences, the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, and the Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, China

2. Guangxi Academy of Sciences, Nanjing, China

3. School of Engineering, Faculty of Applied Science, The University of British Columbia Okanagan Campus, Kelowna, BC, Canada

Funder

National Natural Science Foundation of China

Young Top-Notch Talent Cultivation Program of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10433867/10379037.pdf?arnumber=10379037

Reference34 articles.

1. State-of-the-Art Review of Technologies for Pipe Structural Health Monitoring

2. Validation of Strain Gauges for Structural Health Monitoring With Bayesian Belief Networks

3. Positive-Sample-Based Surface Defect Detection Using Memory-Augmented Adversarial Autoencoders

4. A comparative study between magnetic field distortion and magnetic flux leakage techniques for surface defect shape reconstruction in steel plates

5. Weakly Supervised Acoustic Defect Detection in Concrete Structures Using Clustering-Based Augmentation

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