Image Classification Calibration on FMoW
53.81AccuracyFLSD-53
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FLSD-53Backbone=DenseNet-1212025.08 | 53.81 | 28.72 | 4.09 | 1.03 | 0.8 | |
| DFLBackbone=DenseNet-1212025.08 | 53.55 | 26.59 | 4.3 | 0.97 | 0.77 | |
| BSCE-GRABackbone=DenseNet-1212025.08 | 53.53 | 27.4 | 3.6 | 0.99 | 0.77 | |
| MaxEnt MBackbone=DenseNet-1212025.08 | 53.04 | 30.69 | 4.85 | 1.09 | 0.85 | |
| CEBackbone=DenseNet-1212025.08 | 52.31 | 41.94 | 5.7 | 1.42 | 1.01 | |
| FGRBackbone=DenseNet-1212025.08 | 51.95 | 25.06 | 3.84 | 0.92 | 0.74 | |
| MixupBackbone=DenseNet-1212025.08 | 51.53 | 25.16 | 5.53 | 0.98 | 0.76 | |
| LS-0.05Backbone=DenseNet-1212025.08 | 50.89 | 33.64 | 6.91 | 1.14 | 0.97 | |
| AugMixBackbone=DenseNet-1212025.08 | 27.47 | 48.68 | 3.08 | 1.86 | 1.77 |