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SOTA
Anomaly Detection
Anomaly Detection On Ucsd Peds2
Anomaly Detection On Ucsd Peds2
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
Background-Agnostic Framework
98.7
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
SSMTL
97.5
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
OMAE
96.46
Object-centric and memory-guided normality reconstruction for video anomaly detection
0 of 3 row(s) selected.
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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 Ucsd Peds2
Anomaly Detection On Ucsd Peds2
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
Background-Agnostic Framework
98.7
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
SSMTL
97.5
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
OMAE
96.46
Object-centric and memory-guided normality reconstruction for video anomaly detection
0 of 3 row(s) selected.
Previous
Next
Anomaly Detection On Ucsd Peds2 | SOTA | HyperAI