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Anomaly Detection On Anomaly Detection On
Metrics
Network
ROC-AUC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| SCAN Features | ResNet-18 | 90.2 | Out-of-Distribution Detection Without Class Labels | - |
| GOAD | ResNet-18 | 78.8 | Classification-Based Anomaly Detection for General Data | |
| PsudoLabels ResNet-152 | ResNet-152 | 95.7 | Out-of-Distribution Detection Without Class Labels | - |
| MeanShifted | ResNet-152 | 92.6 | Mean-Shifted Contrastive Loss for Anomaly Detection | |
| PsudoLabels ViT | ViT | 99.1 | Out-of-Distribution Detection Without Class Labels | - |
| CSI | ResNet-18 | 90.3 | CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | |
| SSD | ResNet-34 | 96.5 | SSD: A Unified Framework for Self-Supervised Outlier Detection | |
| PsudoLabels ResNet-18 | ResNet-18 | 94.3 | Out-of-Distribution Detection Without Class Labels | - |
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