2024
Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection
ECCV 2024poster
"Unsupervised video anomaly detection (UVAD) aims to detect abnormal events in videos without any annotations. It remains challenging because anomalies are rare, diverse, and usually not well-defined. Existing UVAD methods are purely data-driven and perform unsupervised learning by identifying vario…