Image Classification on CIFAR10 Noise (val)
0.021Brier ScoreDeep Ensemble
Evaluation Results
| Method | Links | |
|---|---|---|
| Deep EnsembleBackbone=ResNet-18, Noise-level=12021.10 | 0.021 | |
| GSDBackbone=ResNet-18, Noise-level=12021.10 | 0.022 | |
| MCDOBackbone=ResNet-18, Noise-level=12021.10 | 0.024 | |
| ResNetBackbone=ResNet-18, Noise-level=12021.10 | 0.025 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=22021.10 | 0.028 | |
| MCDOBackbone=ResNet-18, Noise-level=22021.10 | 0.03 | |
| GSDBackbone=ResNet-18, Noise-level=22021.10 | 0.03 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=32021.10 | 0.03 | |
| MCDOBackbone=ResNet-18, Noise-level=32021.10 | 0.032 | |
| ResNetBackbone=ResNet-18, Noise-level=22021.10 | 0.034 | |
| GSDBackbone=ResNet-18, Noise-level=32021.10 | 0.034 | |
| ResNetBackbone=ResNet-18, Noise-level=32021.10 | 0.038 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=42021.10 | 0.041 | |
| GSDBackbone=ResNet-18, Noise-level=42021.10 | 0.043 | |
| MCDOBackbone=ResNet-18, Noise-level=42021.10 | 0.046 | |
| ResNetBackbone=ResNet-18, Noise-level=42021.10 | 0.05 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=52021.10 | 0.052 | |
| GSDBackbone=ResNet-18, Noise-level=52021.10 | 0.056 | |
| MCDOBackbone=ResNet-18, Noise-level=52021.10 | 0.057 | |
| ResNetBackbone=ResNet-18, Noise-level=52021.10 | 0.068 |