Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning

Chaewon Park, Donghyeong Kim, MyeongAh Cho, Minjung Kim, Minseok Lee, Seungwook Park, Sangyoun Lee

Abstract: Highlights•Patch anomaly generation enforces normality learning, in terms of appearance and motion.•Anomaly distance learning enlarges the feature distance of normal and abnormal frames.•Context-aware shortcut widens the quality gap between outputs for normal and abnormal samples.•Our method is fast, accurate, and free from pre-trained networks.