Consistency-based Self-supervised Learning for Temporal Anomaly Localization

Aniello Panariello, Angelo Porrello, Simone Calderara +1

This work tackles Weakly Supervised Anomaly detection, in which a predictor is allowed to learn not only from normal examples but also from a few labeled anomalies made available d…