Anomaly Detection on AnoShift

Metric: ROC-AUC FAR (higher is better)

LeaderboardDataset

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Results

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#	Model↕	ROC-AUC FAR▼	Augmentations	Paper	Date↕	Code
1	ACR-NTL (zero-shot, test anomaly ratio=1%)	62.5	No	Zero-Shot Anomaly Detection via Batch Normalizat...	2023-02-15	Code
2	ACR-DSVDD (zero-shot, anomaly ratio=1%)	62	No	Zero-Shot Anomaly Detection via Batch Normalizat...	2023-02-15	Code
3	ACR-NTL (zero-shot, test anomaly ratio=20%)	62	No	Zero-Shot Anomaly Detection via Batch Normalizat...	2023-02-15	Code
4	ACR-DSVDD (zero-shot, anomaly ratio=20%)	59.1	No	Zero-Shot Anomaly Detection via Batch Normalizat...	2023-02-15	Code
5	COPOD	50.42	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
6	OC-SVM	49.57	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
7	SO-GAAL	49.35	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
8	ECOD Li et al. (2022)	49.19	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
9	LOF	34.96	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
10	deepSVDD	34.53	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
11	LUNAR	28.19	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
12	BERT	28.15	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
13	IsoForest	27.16	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
14	Internal Contrastive Learning	22.45	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code
15	AE for anomalies	19.96	No	AnoShift: A Distribution Shift Benchmark for Uns...	2022-06-30	Code