A novel hybrid attention gate based on vision transformer for the detection of surface defects
Author:
Funder
Inönü Üniversitesi
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03355-2.pdf
Reference61 articles.
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2. Hanbay, K., Golgiyaz, S., Talu, M.F.: Real time fabric defect detection system on Matlab and C++/Opencv platforms. In: 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). pp. 1–8. IEEE, Malatya (2017)
3. Silvén, O., Niskanen, M., Kauppinen, H.: Wood inspection with non-supervised clustering. Mach. Vis. Appl. 13, 275–285 (2003). https://doi.org/10.1007/s00138-002-0084-z
4. Aslam, Y., Santhi, N., Ramasamy, N., Ramar, K.: Localization and segmentation of metal cracks using deep learning. J. Ambient Intell. Humaniz. Comput. 1, 3 (2020). https://doi.org/10.1007/s12652-020-01803-8
5. Hocenski, Ž., Vasilić, S., Hocenski, V.: Improved canny edge detector in ceramic tiles defect detection. In: IECON Proceedings (Industrial Electronics Conference). pp. 3328–3331. IEEE Computer Society (2006)
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