Anomaly Detection On Anomaly Detection On 1
评估指标
Network
ROC-AUC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Network | ROC-AUC | Paper Title | Repository |
|---|---|---|---|---|
| CSI | ResNet-18 | 71.5 | CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | |
| GOAD | ResNet-18 | 90.5 | Classification-Based Anomaly Detection for General Data | |
| PsudoLabels CLIP ViT | ViT | 99.4 | Out-of-Distribution Detection Without Class Labels | - |
| ROT+Trans | ResNet-18 | 74.5 | Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty | |
| DN2 CLIP ViT | ViT | 93.8 | Deep Nearest Neighbor Anomaly Detection | - |
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