4 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…
GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module
Niccolò Ferrari, Michele Fraccaroli, Evelina Lamma
Anomaly detection is nowadays increasingly used in industrial applications and processes. One of the main fields of the appliance is the visual inspection for surface anomaly detec…