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Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly 벤치마크

Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly on Cats and Dogs

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AUC-ROC

0.71 0.7777 0.8455 0.9133 0.981 2008-12 2026-09 IF — 0.878 (2008-12-15) DAGMM — 0.71 (2018-01-01) RSRAE — 0.981 (2019-03-30) Deep Unsup. — 0.862 (2021-01-05) LVAD — 0.978 (2022-10-23) IF — 0.878 (2008-12-15) RSRAE — 0.981 (2019-03-30)
RankModel AUC-ROC PaperCodeYear
1 RSRAE 0.981 Robust Subspace Recovery Layer for Unsupervised Anomaly Detection dmzou/RSRAE · marrrcin/rsrlayer-pytorch 2019
2 LVAD 0.978 Locally varying distance transform for unsupervised visual anomaly detection wen-yan-lin/LVAD-Locally-Varying-Anomaly-Detection 2022
3 IF 0.878 Isolation forest 2008
4 Deep Unsup. 0.862 Deep unsupervised anomaly detection 2021
5 DAGMM 0.710 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection danieltan07/dagmm · RomainSabathe/dagmm 2018
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