Anomaly Detection On Lag

AUC

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	AUC	Paper Title
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
PANDA	0.789	PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information
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

0 of 5 row(s) selected.