HyperAI
Home
News
Latest Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
English
HyperAI
Toggle sidebar
Search the site…
⌘
K
Home
SOTA
Video Anomaly Detection
Video Anomaly Detection On Shanghaitech
Video Anomaly Detection On Shanghaitech
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
Repository
PoseWatch-H
85.75
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization
-
HF2-VAD
76.2
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
TSGAD
80.6
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
0 of 3 row(s) selected.
Previous
Next