Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

28 May 2020Oliver RippelPatrick MertensDorit Merhof

Anomaly Detection (AD) in images is a fundamental computer vision problem and refers to identifying images and/or image substructures that deviate significantly from the norm. Popular AD algorithms commonly try to learn a model of normality from scratch using task specific datasets, but are limited to semi-supervised approaches employing mostly normal data due to the inaccessibility of anomalies on a large scale combined with the ambiguous nature of anomaly appearance... (read more)

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