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 Lag
Anomaly Detection On Lag
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
CCD
0.874
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
IGD
0.796
Deep One-Class Classification via Interpolated Gaussian Descriptor
PANDA
0.789
PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information
F-anoGAN
0.778
f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks
PaDiM
0.688
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
0 of 5 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 Lag
Anomaly Detection On Lag
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
CCD
0.874
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
IGD
0.796
Deep One-Class Classification via Interpolated Gaussian Descriptor
PANDA
0.789
PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information
F-anoGAN
0.778
f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks
PaDiM
0.688
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
0 of 5 row(s) selected.
Previous
Next