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Models/PoseWatch-H

PoseWatch-H

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

3D Anomaly DetectiononHR-ShanghaiTech
AUC· 2024-08-27
87.23
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
3D Anomaly DetectiononShanghaiTech Campus
AUC· 2024-08-27
85.75
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
3D Anomaly DetectiononCHAD
AUC· 2024-08-27
67.04
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
Video Anomaly DetectiononHR-ShanghaiTech
AUC· 2024-08-27
87.23
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
Video Anomaly DetectiononShanghaiTech Campus
AUC· 2024-08-27
85.75
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
Video Anomaly DetectiononCHAD
AUC· 2024-08-27
67.04
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185

Methodology3 results

Anomaly DetectiononHR-ShanghaiTech
AUC· 2024-08-27
87.23
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
Anomaly DetectiononShanghaiTech Campus
AUC· 2024-08-27
85.75
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185
Anomaly DetectiononCHAD
AUC· 2024-08-27
67.04
SOTA
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization arXiv:2408.15185