Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection
Author:
Funder
National Research Council Canada
King Saud University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12559-024-10283-3.pdf
Reference27 articles.
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4. Tabernik D, Sela S, Skvarˇc J, Skoˇcaj D. Deep-learning-based com-puter vision system for surface-defect detection. In: In Computer Vision Sys-tems: 12th International Conference, ICVS 2019, Thessaloniki, Greece, September 23–25, 2019, Proceedings 12. Springer; 2019. p. 490–500.
5. Ghaboura S, Ferdousi R, Laamarti F, Yang C, El Saddik A. Digital twin for railway: A comprehensive survey. IEEE Access. 2023;11:120237–57.
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