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Models/GOAD

GOAD

Reported on 8 benchmarks across 1 task · 2 papers · 3 SOTA

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

Methodology8 results

Anomaly DetectiononAnomaly Detection on Unlabeled CIFAR-10 vs LSUN (Fix)
ROC-AUC· 2020-05-05
78.8
best: 99.1 (PsudoLabels ViT)
SOTA
Classification-Based Anomaly Detection for General Data arXiv:2005.02359
Anomaly DetectiononUEA time-series datasets
Avg. ROC-AUC· 2020-05-05
87.2
best: 96.8 (SINBAD)
SOTA
Classification-Based Anomaly Detection for General Data arXiv:2005.02359
Anomaly DetectiononUnlabeled CIFAR-10 vs CIFAR-100
AUROC· 2020-05-05
89.2
best: 96.7 (PsudoLabels ViT)
SOTA
Classification-Based Anomaly Detection for General Data arXiv:2005.02359
Anomaly DetectiononODDS
AUROC· 2022-10-19
0.782
best: 0.902 (kNN)
Anomaly Detection Requires Better Representations arXiv:2210.10773
Anomaly DetectiononODDS
F1· 2022-10-19
0.544
best: 0.699 (kNN)
Anomaly Detection Requires Better Representations arXiv:2210.10773
Anomaly DetectiononAnomaly Detection on Anomaly Detection on Unlabeled ImageNet-30 vs Flowers-102
ROC-AUC· 2020-05-05
92.8
best: 98.3 (PsudoLabels CLIP ViT)
Classification-Based Anomaly Detection for General Data arXiv:2005.02359
Anomaly DetectiononAnomaly Detection on Unlabeled ImageNet-30 vs CUB-200
ROC-AUC· 2020-05-05
90.5
best: 99.4 (PsudoLabels CLIP ViT)
Classification-Based Anomaly Detection for General Data arXiv:2005.02359
Anomaly DetectiononOne-class CIFAR-10
AUROC· 2020-05-05
88.2
best: 99.6 (CLIP (OE))
Classification-Based Anomaly Detection for General Data arXiv:2005.02359