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Video Anomaly Detection On Hr Shanghaitech

Metrics

AUC

Results

Performance results of various models on this benchmark

Model Name	AUC	Paper Title	Repository
BiPOCO	74.9	BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection	-
MoPRL	84.3	Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection	-
TrajREC	77.9	Holistic Representation Learning for Multitask Trajectory Anomaly Detection	-
COSKAD-euclidean	77.1	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection	-
MoCoDAD	77.6	Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection	-
TSGAD	81.77	An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction	-
GEPC	74.8	Graph Embedded Pose Clustering for Anomaly Detection	-
Conv-AE	69.8	Learning Temporal Regularity in Video Sequences	-
MPED-RNN	75.4	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	-
Pred	72.7	Future Frame Prediction for Anomaly Detection -- A New Baseline	-
Multi-timescale Prediction	77.0	Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection	-
COSKAD-radial	75.2	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection	-
PoseWatch-H	87.23	Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer	-
COSKAD-hyperbolic	75.6	Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection	-

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Video Anomaly Detection On Hr Shanghaitech | SOTA | HyperAI