Anomaly Detection On Hyper Kvasir Dataset

AUC

评测结果

各个模型在此基准测试上的表现结果

模型名称	AUC	Paper Title	Repository
IGD	0.939	Deep One-Class Classification via Interpolated Gaussian Descriptor
CCD	0.972	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
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	-
PaDiM	0.923	PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
PANDA	0.937	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

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