Calibration on CIFAR10 Noise levels 1-5 (val)
0.531NLLGSD
Evaluation Results
| Method | Links | |
|---|---|---|
| GSDBackbone=ResNet18, Noise-level=12021.10 | 0.531 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=12021.10 | 0.544 | |
| MCDOBackbone=ResNet18, Noise-level=12021.10 | 0.667 | |
| GSDBackbone=ResNet18, Noise-level=22021.10 | 0.716 | |
| ResNetBackbone=ResNet18, Noise-level=12021.10 | 0.718 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=22021.10 | 0.737 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=32021.10 | 0.753 | |
| GSDBackbone=ResNet18, Noise-level=32021.10 | 0.785 | |
| MCDOBackbone=ResNet18, Noise-level=32021.10 | 0.831 | |
| MCDOBackbone=ResNet18, Noise-level=22021.10 | 0.845 | |
| ResNetBackbone=ResNet18, Noise-level=22021.10 | 0.979 | |
| GSDBackbone=ResNet18, Noise-level=42021.10 | 1.007 | |
| ResNetBackbone=ResNet18, Noise-level=32021.10 | 1.043 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=42021.10 | 1.055 | |
| MCDOBackbone=ResNet18, Noise-level=42021.10 | 1.262 | |
| GSDBackbone=ResNet18, Noise-level=52021.10 | 1.346 | |
| ResNetBackbone=ResNet18, Noise-level=42021.10 | 1.436 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=52021.10 | 1.551 | |
| MCDOBackbone=ResNet18, Noise-level=52021.10 | 1.947 | |
| ResNetBackbone=ResNet18, Noise-level=52021.10 | 2.052 |