UCF-Crime

# Real-world Anomaly Detection in Surveillance Videos Surveillance videos are able to capture a variety of realistic anomalies. In this paper, we propose to learn anomalies by exploiting both normal and anomalous videos. To avoid annotating the anomalous segments or clips in training videos, which is very time consumin

Papers using UCF-Crime (2)

VigilFormer: Deformable Attention for Video Anomaly Detection with Causal Risk Inference2026Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models2025