Calibration on CIFAR100 Noise levels 1-5 (val)
1.499NLLDeep Ensemble
Evaluation Results
| Method | Links | |
|---|---|---|
| Deep EnsembleBackbone=ResNet18, Noise-level=12021.10 | 1.499 | |
| ResNetBackbone=ResNet18, Noise-level=12021.10 | 1.782 | |
| GSDBackbone=ResNet18, Noise-level=12021.10 | 1.786 | |
| MCDOBackbone=ResNet18, Noise-level=12021.10 | 1.789 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=22021.10 | 1.927 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=32021.10 | 1.969 | |
| GSDBackbone=ResNet18, Noise-level=22021.10 | 2.108 | |
| MCDOBackbone=ResNet18, Noise-level=42021.10 | 2.208 | |
| MCDOBackbone=ResNet18, Noise-level=22021.10 | 2.225 | |
| MCDOBackbone=ResNet18, Noise-level=32021.10 | 2.269 | |
| GSDBackbone=ResNet18, Noise-level=32021.10 | 2.3 | |
| ResNetBackbone=ResNet18, Noise-level=22021.10 | 2.326 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=42021.10 | 2.379 | |
| GSDBackbone=ResNet18, Noise-level=42021.10 | 2.676 | |
| ResNetBackbone=ResNet18, Noise-level=32021.10 | 2.773 | |
| MCDOBackbone=ResNet18, Noise-level=52021.10 | 2.788 | |
| Deep EnsembleBackbone=ResNet18, Noise-level=52021.10 | 2.99 | |
| GSDBackbone=ResNet18, Noise-level=52021.10 | 3.215 | |
| ResNetBackbone=ResNet18, Noise-level=42021.10 | 3.434 | |
| ResNetBackbone=ResNet18, Noise-level=52021.10 | 3.585 |