Self-Supervised

Consistency-based Self-supervised Learning for Temporal Anomaly Localization
This work tackles Weakly Supervised Anomaly detection within the field of self-supervised learning, asking the model to yield the same anomaly scores for different augmentations of the same video sequence.
Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara
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Consistency-based Self-supervised Learning for Temporal Anomaly Localization