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SotA/Methodology/Anomaly Detection/MNIST

Anomaly Detection on MNIST

Metric: ROC AUC (higher is better)

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#Model↕ROC AUC▼AugmentationsPaperDate↕Code
1GAN-based Anomaly Detection in Imbalance Problems99.7Yes---
2IGD (pre-trained ImageNet)99.27YesDeep One-Class Classification via Interpolated G...2021-01-25Code
3IGD (scratch)98.69YesDeep One-Class Classification via Interpolated G...2021-01-25Code
4DASVDD97.7YesDASVDD: Deep Autoencoding Support Vector Data De...2021-06-09Code
5LIS-AE97.68YesLatent-Insensitive autoencoders for Anomaly Dete...2021-10-25-
6P-KDGAN97.25YesP-KDGAN: Progressive Knowledge Distillation with...2020-07-14-