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[2] Gu, Z., Zhu, B., Zhu, G., Chen, Y., Tang, M., & Wang, J. (2025). Univad: A training-free unified model for few-shot visual anomaly detection. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 15194-15203).

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