Self-supervised Learning for Robust Surface Defect Detection
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66705-3_11
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3. Jawahar, M., Anbarasi, L.J., Geetha, S.: Vision based leather defect detection: a survey. Multimedia Tools Appl. 82(1), 989–1015 (2023)
4. Zavrtanik, V., Kristan, M., Skočaj, D.: DSR-a dual subspace re-projection network for surface anomaly detection. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13691, pp. 539–554. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-19821-2_31
5. Luo, Z., He, K., Yu, Z.: A robust unsupervised anomaly detection framework. Appl. Intell. 52(6), 6022–6036 (2022)
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