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Video Anomaly Detection On Hr Avenue

Métriques

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC	Paper Title	Repository
BiPOCO	87.0	BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection
Multi-timescale Prediction	88.33	Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection	-
Conv-AE	84.8	Learning Temporal Regularity in Video Sequences
MoCoDAD	89.0	Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
COSKAD-euclidean	87.8	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
COSKAD-radial	82.2	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
GEPC	58.1	Graph Embedded Pose Clustering for Anomaly Detection
MPED-RNN	86.3	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
COSKAD-hyperbolic	87.3	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
TrajREC	89.4	Holistic Representation Learning for Multitask Trajectory Anomaly Detection
Pred	86.2	Future Frame Prediction for Anomaly Detection -- A New Baseline

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Video Anomaly Detection On Hr Avenue | SOTA | HyperAI