Image Classification Calibration on CIFAR-10-C
82.49AccuracyAugMix
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| AugMixBackbone=DenseNet-1212025.08 | 82.49 | 11.03 | 8.51 | 3.31 | 3.24 | |
| MixupBackbone=DenseNet-1212025.08 | 75.41 | 14.8 | 17.81 | 3.79 | 3.78 | |
| FGRBackbone=DenseNet-1212025.08 | 75.12 | 9.02 | 9.9 | 3.12 | 3.09 | |
| CEBackbone=DenseNet-1212025.08 | 74.05 | 23.51 | 17.16 | 4.87 | 4.38 | |
| LS-0.05Backbone=DenseNet-1212025.08 | 73.65 | 16.42 | 18.36 | 3.81 | 3.8 | |
| FLSD-53Backbone=DenseNet-1212025.08 | 72.61 | 13.58 | 14.99 | 3.74 | 3.7 | |
| BSCE-GRABackbone=DenseNet-1212025.08 | 72.46 | 11.45 | 14.11 | 3.64 | 3.63 | |
| MaxEnt MBackbone=DenseNet-1212025.08 | 71.98 | 11.62 | 13.63 | 3.62 | 3.62 | |
| DFLBackbone=DenseNet-1212025.08 | 70.18 | 16.19 | 15.12 | 4.28 | 4.23 |