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SotA/Methodology/Anomaly Detection/AnoShift

Anomaly Detection on AnoShift

Metric: ROC-AUC IID (higher is better)

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#Model↕ROC-AUC IID▼AugmentationsPaperDate↕Code
1deepSVDD92.67NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
2LOF91.5NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
3IsoForest86.09NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
4LUNAR85.75NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
5COPOD85.62NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
6Internal Contrastive Learning84.86NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
7ECOD Li et al. (2022)84.76NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
8BERT84.54NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
9AE for anomalies81NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
10OC-SVM76.86NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
11SO-GAAL50.48NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code