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20222026
most citedAnomalib: A Deep Learning Library for Anomaly Detection

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cs.CV2025

From Benchmarks to Reality: Advancing Visual Anomaly Detection by the VAND 3.0 Challenge

Lars Heckler-Kram, Ashwin Vaidya, Jan-Hendrik Neudeck +4

Visual anomaly detection is a strongly application-driven field of research. Consequently, the connection between academia and industry is of paramount importance. In this regard,…