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SOTA
Video Anomaly Detection
Video Anomaly Detection On Hr Shanghaitech
Video Anomaly Detection On Hr Shanghaitech
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
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
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization
-
COSKAD-hyperbolic
75.6
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
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