Abstract: Existing unsupervised video anomaly detection methods based on prediction typically employ a memory module to limit the generalization ability of the network so that normal frames can be ...
Cloner le dépôt, créer l’environnement, générer les données parquet, lancer le pipeline et exécuter les tests : ...
Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...
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