Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection

2 code implementations • 7 Apr 2024 • Demetris Lappas, Vasileios Argyriou, Dimitrios Makris

We introduce Dynamic Distinction Learning (DDL) for Video Anomaly Detection, a novel video anomaly detection methodology that combines pseudo-anomalies, dynamic anomaly weighting, and a distinction loss function to improve detection accuracy.

Anomaly Detection Video Anomaly Detection