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
Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly
Unsupervised Anomaly Detection With Specified 23
Unsupervised Anomaly Detection With Specified 23
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
Paper Title
LVAD
0.904
Locally varying distance transform for unsupervised visual anomaly detection
Deep Unsup.
0.835
Deep unsupervised anomaly detection
IF
0.797
Isolation forest
RSRAE
0.763
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
DAGMM
0.613
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
0 of 5 row(s) selected.
Previous
Next