Video Anomaly Detection On Ubnormal
Metriken
AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | AUC | Paper Title | Repository |
|---|---|---|---|
| AnyAnomaly | 74.5% | AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM | |
| TrajREC | 68% | Holistic Representation Learning for Multitask Trajectory Anomaly Detection | |
| AnomalyRuler | 71.9% | Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models | |
| MULDE-frame-centric-micro-one-class-classification | 72.8% | MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection |
0 of 4 row(s) selected.