Image Classification Calibration on Camelyon 17
89.19AccuracyFGR
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FGRBackbone=DenseNet-1212025.08 | 89.19 | 2.36 | 1.82 | 5.714 | 5.691 | |
| MixupBackbone=DenseNet-1212025.08 | 88.33 | 2.62 | 2.05 | 10.097 | 10.105 | |
| DFLBackbone=DenseNet-1212025.08 | 88.03 | 2.74 | 2.12 | 9.957 | 9.956 | |
| FLSD-53Backbone=DenseNet-1212025.08 | 87.1 | 6.33 | 3.67 | 11.787 | 11.788 | |
| CEBackbone=DenseNet-1212025.08 | 86.83 | 12.23 | 6.18 | 12.612 | 12.186 | |
| BSCE-GRABackbone=DenseNet-1212025.08 | 86.44 | 5.53 | 2.5 | 11.336 | 11.334 | |
| LS-0.05Backbone=DenseNet-1212025.08 | 85.86 | 8.26 | 7.55 | 13.859 | 13.858 | |
| MaxEnt MBackbone=DenseNet-1212025.08 | 85.67 | 3.96 | 2.71 | 12.93 | 12.932 | |
| AugMixBackbone=DenseNet-1212025.08 | 70.99 | 16.99 | 8.19 | 19.678 | 19.68 |