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SotA/Methodology/Anomaly Detection/Hyper-Kvasir Dataset

Anomaly Detection on Hyper-Kvasir Dataset

Metric: AUC (higher is better)

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#Model↕AUC▼AugmentationsPaperDate↕Code
1CCD0.972NoConstrained Contrastive Distribution Learning fo...2021-03-05Code
2IGD0.939NoDeep One-Class Classification via Interpolated G...2021-01-25Code
3PANDA0.937NoPANDA: Adapting Pretrained Features for Anomaly ...2020-10-12Code
4PaDiM0.923NoPaDiM: a Patch Distribution Modeling Framework f...2020-11-17Code
5F-Anogan0.907No--Code
6OCGAN0.813NoOCGAN: One-class Novelty Detection Using GANs wi...2019-03-20-