Image Classification on CIFAR100 Noise (val)
0.003Brier ScoreGSD
Evaluation Results
| Method | Links | |
|---|---|---|
| GSDBackbone=ResNet-18, Noise-level=12021.10 | 0.003 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=12021.10 | 0.005 | |
| MCDOBackbone=ResNet-18, Noise-level=12021.10 | 0.005 | |
| ResNetBackbone=ResNet-18, Noise-level=12021.10 | 0.005 | |
| GSDBackbone=ResNet-18, Noise-level=22021.10 | 0.005 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=22021.10 | 0.006 | |
| MCDOBackbone=ResNet-18, Noise-level=22021.10 | 0.006 | |
| ResNetBackbone=ResNet-18, Noise-level=22021.10 | 0.006 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=32021.10 | 0.006 | |
| MCDOBackbone=ResNet-18, Noise-level=32021.10 | 0.006 | |
| GSDBackbone=ResNet-18, Noise-level=32021.10 | 0.006 | |
| ResNetBackbone=ResNet-18, Noise-level=32021.10 | 0.007 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=42021.10 | 0.007 | |
| MCDOBackbone=ResNet-18, Noise-level=42021.10 | 0.007 | |
| ResNetBackbone=ResNet-18, Noise-level=42021.10 | 0.007 | |
| GSDBackbone=ResNet-18, Noise-level=42021.10 | 0.007 | |
| Deep EnsembleBackbone=ResNet-18, Noise-level=52021.10 | 0.008 | |
| GSDBackbone=ResNet-18, Noise-level=52021.10 | 0.008 | |
| MCDOBackbone=ResNet-18, Noise-level=52021.10 | 0.009 | |
| ResNetBackbone=ResNet-18, Noise-level=52021.10 | 0.009 |