Anomaly Detection On Anomaly Detection On 2
평가 지표
Network
ROC-AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Network | ROC-AUC | Paper Title | Repository |
|---|---|---|---|---|
| GOAD | ResNet-18 | 92.8 | Classification-Based Anomaly Detection for General Data | |
| CSI | ResNet-18 | 94.7 | CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | |
| PsudoLabels CLIP ViT | ViT | 98.3 | Out-of-Distribution Detection Without Class Labels | - |
| ROT+Trans | ResNet-18 | 86.3 | Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty | |
| DN2 CLIP ViT | ViT | 93.2 | Deep Nearest Neighbor Anomaly Detection | - |
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