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AnoShift Benchmark (Unsupervised Anomaly Detection)
The objective of Unsupervised Anomaly Detection is to detect previously unseen rare objects or events without any prior knowledge about these. The only information available is that the percentage of anomalies in the dataset is small, usually less than 1%. Since anomalies are rare and unknown to the user at training time, anomaly detection in most cases boils down to the problem of modelling the normal data distribution and defining a measurement in this space in order to classify samples as anomalous or normal. In high-dimensional data such as images, distances in the original space quickly lose descriptive power (curse of dimensionality) and a mapping to some more suitable space is required.
The archive carries no text for this table; the description above is the archive's text for the task Unsupervised Anomaly Detection. archive 2025-07-28
Over time archive 2025-07-28
The chart needs JavaScript; the table below carries every value.
Direction inferred from the metric name, not from the archive: ROC-AUC FAR (higher is better), ROC-AUC IID (higher is better), ROC-AUC NEAR (higher is better), ROC-AUC-ID (In-Distribution setup) (higher is better). Points are placed at the row's paper date; 15 of 15 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | ACR-NTL (zero-shot, test anomaly ratio=1%) | 62.5 | – | Paper | Code | 2023 | 1 of 1 ran · 0 unverified | report | |||
| 2 | ACR-DSVDD (zero-shot, anomaly ratio=1%) | 62 | – | Paper | Code | 2023 | 1 of 1 ran · 0 unverified | report | |||
| 3 | ACR-NTL (zero-shot, test anomaly ratio=20%) | 62 | – | Paper | Code | 2023 | 1 of 1 ran · 0 unverified | report | |||
| 4 | ACR-DSVDD (zero-shot, anomaly ratio=20%) | 59.1 | – | Paper | Code | 2023 | 1 of 1 ran · 0 unverified | report | |||
| 5 | COPOD | 50.42 | 85.62 | 54.24 | 80.89 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 6 | OC-SVM | 49.57 | 76.86 | 71.43 | 68.73 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 7 | SO-GAAL | 49.35 | 50.48 | 54.55 | 49.90 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 8 | ECOD Li et al. (2022) | 49.19 | 84.76 | 44.87 | 79.41 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 9 | LOF | 34.96 | 91.5 | 79.29 | 87.61 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 10 | deepSVDD | 34.53 | 92.67 | 87.00 | 88.24 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 11 | LUNAR | 28.19 | 85.75 | 49.03 | 78.53 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 12 | BERT | 28.15 | 84.54 | 86.05 | 79.62 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 13 | IsoForest | 27.16 | 86.09 | 75.26 | 81.27 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 14 | Internal Contrastive Learning | 22.45 | 84.86 | 52.26 | 66.99 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
| 15 | AE for anomalies | 19.96 | 81 | 44.06 | 64.08 | – | Paper | Code | 2022 | 0 of 13 ran · 13 unverified | report |
All 15 rows shown. 15 link to a paper page on this site; 0 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 15 rows have a graph line, from 2 distinct papers; 4 rows (1 papers) have at least one sample that ran. Counting each paper once: Syntology ran 1 of 14 samples; 13 unverified. Separately, 0 of those 14 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.
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