A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video

Benchmark Model Rank Results
abnormal-event-detection-in-video-on-ucsdBackground-Agnostic Framework#2AUC: 98.7%
anomaly-detection-in-surveillance-videos-on-3Background-Agnostic Framework#1AUC: 98.7
anomaly-detection-on-chuk-avenueBackground-Agnostic Framework#9AUC: 92.3%RBDC: 65.05TBDC: 66.85FPS: 25
anomaly-detection-on-shanghaitechBackground-Agnostic Framework#13AUC: 82.7%
anomaly-detection-on-ubnormalBackground-Agnostic Framework#10AUC: 61.3%RBDC: 25.43TBDC: 56.27
anomaly-detection-on-ucsd-ped2Background-Agnostic#3AUC: 98.7%FPS: 24
anomaly-detection-on-ucsd-peds2Background-Agnostic Framework#1AUC: 98.7