Image Classification Calibration on Tiny ImageNet C
26.26AccuracyMixup
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MixupBackbone=DenseNet-1212025.08 | 26.26 | 11.75 | 16.77 | 0.37 | 0.4 | |
| LS-0.05Backbone=DenseNet-1212025.08 | 25.96 | 16.11 | 16.11 | 0.37 | 0.39 | |
| CEBackbone=DenseNet-1212025.08 | 24.27 | 25.83 | 36.23 | 0.44 | 0.43 | |
| FGRBackbone=DenseNet-1212025.08 | 24.03 | 12.39 | 11.16 | 0.4 | 0.38 | |
| DFLBackbone=DenseNet-1212025.08 | 23.84 | 13.12 | 16.62 | 0.38 | 0.39 | |
| FLSD-53Backbone=DenseNet-1212025.08 | 22.3 | 15.35 | 47.58 | 0.41 | 0.42 | |
| BSCE-GRABackbone=DenseNet-1212025.08 | 21.47 | 13.08 | 19.96 | 0.4 | 0.41 | |
| MaxEnt MBackbone=DenseNet-1212025.08 | 21.14 | 21.79 | 17.05 | 0.46 | 0.46 | |
| AugMixBackbone=DenseNet-1212025.08 | 14.51 | 22.55 | 11.98 | 0.48 | 0.5 |