OOD Detection on CIFAR-10 vs LSUN
99.82AUROCMulti-Task Curriculum Framework
Evaluation results
| Method | Links | |
|---|---|---|
| Multi-Task Curriculum Framework2020.07 | 99.82 | |
| Deep Clustering for Multi-Class Anomaly DetectionNetwork=ViT, Pre-trained=true2021.12 | 99.3 | |
| Deep Clustering for Multi-Class Anomaly DetectionNetwork=ResNet-18, Pre-trained=true2021.12 | 98.6 | |
| CSINetwork=ResNet-18, Pre-trained=false2021.12 | 97.5 | |
| Deep Clustering for Multi-Class Anomaly DetectionNetwork=ResNet-152, Pre-trained=true2021.12 | 95.4 | |
| RotNetwork=ResNet-18, Pre-trained=false2021.12 | 92.8 | |
| SCAN FeaturesNetwork=ResNet-18, Pre-trained=false2021.12 | 92.4 | |
| DN2Network=ResNet-18, Pre-trained=true2021.12 | 91 | |
| MSCLNetwork=ResNet-152, Pre-trained=true2021.12 | 90.6 | |
| GOADNetwork=ResNet-18, Pre-trained=false2021.12 | 89.3 | |
| DN2Network=ResNet-152, Pre-trained=true2021.12 | 88.7 | |
| ODIN2020.07 | 58.02 | |
| Hendrycks & Gimpel2020.07 | 54.34 |