Tag: video anomaly detection

Engineered for desktop computer processors, P2-VGAN flags video anomalies at thirty-four frames per second while protecting visual privacy by discarding ...

A new spatiotemporal reverse distillation framework using a frozen I3D teacher and memory-augmented pseudo-anomaly learning improves unsupervised video anomaly detection ...

Researchers have introduced DualSpace-VAD, a prompt-aligned framework that combines Euclidean and hyperbolic representations to detect audio-visual anomalies in surveillance videos.

A 2026 hospital computer-vision study combined small-object detection, wrist-position checks and memory-enhanced motion analysis to identify hazards and abnormal behavior ...

Researchers have developed a memory-augmented CNN-vision transformer autoencoder that uses Farneback optical flow to detect anomalies in surveillance video with ...

A new prediction-based neural network called RMTA-Net combines recurrent temporal processing, learnable memory banks, and adaptive attention to detect video ...