2 papers
cs.CV2026
Mahalanobis PatchCore: Covariance-Aware and Streaming-Compatible Industrial Anomaly Detection
Niccolò Ferrari, Oligert Osmani, Evelina Lamma
Industrial visual anomaly detection is usually one-class: normal images are abundant, while defects are rare, heterogeneous, and often unavailable during system design. PatchCore-s…
cs.CV2026
Integration of deep generative Anomaly Detection algorithm in high-speed industrial line
Niccolò Ferrari, Nicola Zanarini, Michele Fraccaroli +2
Industrial visual inspection in pharmaceutical production requires high accuracy under strict constraints on cycle time, hardware footprint, and operational cost. Manual inline ins…