HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Anomaly Detection
Anomaly Detection On Pheva
Anomaly Detection On Pheva
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
Paper Title
MPED-RNN
76.05
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
TSGAD (Pose Branch)
68
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
GEPC
62.25
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
STG-NF
57.57
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
0 of 4 row(s) selected.
Previous
Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Anomaly Detection
Anomaly Detection On Pheva
Anomaly Detection On Pheva
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
Paper Title
MPED-RNN
76.05
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
TSGAD (Pose Branch)
68
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
GEPC
62.25
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
STG-NF
57.57
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
0 of 4 row(s) selected.
Previous
Next
Anomaly Detection On Pheva | SOTA | HyperAI