Anomaly Detection On Hyper Kvasir Dataset

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

		Paper Title	Repository
CCD	0.972	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
IGD	0.939	Deep One-Class Classification via Interpolated Gaussian Descriptor
PANDA	0.937	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
PaDiM	0.923	PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
F-Anogan	0.907	f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks	-
OCGAN	0.813	OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations	-

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