SINBAD

Reported on 4 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Anomaly DetectiononUEA time-series datasets
Avg. ROC-AUC· 2023-02-23
96.8
SOTA
Set Features for Fine-grained Anomaly Detection arXiv:2302.12245
Anomaly DetectiononMVTec LOCO AD
Avg. Detection AUROC· 2023-02-23
86.8
best: 95.3 (CSAD)
SOTA
Set Features for Fine-grained Anomaly Detection arXiv:2302.12245
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only logical)· 2023-02-23
88.9
best: 98.1 (PSAD)
SOTA
Set Features for Fine-grained Anomaly Detection arXiv:2302.12245
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only structural)· 2023-02-23
84.7
best: 95.9 (PUAD-M)
Set Features for Fine-grained Anomaly Detection arXiv:2302.12245