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Video Anomaly Detection On Hr Avenue

Metrics

AUC

Results

Performance results of various models on this benchmark

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

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Video Anomaly Detection On Hr Avenue | SOTA | HyperAI