Image Classification Calibration on CIFAR-100-C
59.87AccuracyAugMix
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| AugMixBackbone=DenseNet-1212025.08 | 59.87 | 16.14 | 7.84 | 0.5 | 0.49 | |
| MixupBackbone=DenseNet-1212025.08 | 53.38 | 12.43 | 16.32 | 0.5 | 0.53 | |
| FGRBackbone=DenseNet-1212025.08 | 52.66 | 8.53 | 7.57 | 0.47 | 0.46 | |
| LS-0.05Backbone=DenseNet-1212025.08 | 51.37 | 19.47 | 16.2 | 0.55 | 0.51 | |
| DFLBackbone=DenseNet-1212025.08 | 50.17 | 9.99 | 8.82 | 0.51 | 0.49 | |
| FLSD-53Backbone=DenseNet-1212025.08 | 49.39 | 13.74 | 10.04 | 0.56 | 0.53 | |
| BSCE-GRABackbone=DenseNet-1212025.08 | 49.22 | 11.69 | 10.86 | 0.54 | 0.52 | |
| CEBackbone=DenseNet-1212025.08 | 48.44 | 41.21 | 13.31 | 0.91 | 0.74 | |
| MaxEnt MBackbone=DenseNet-1212025.08 | 48.34 | 11.05 | 10.38 | 0.57 | 0.54 |