Classification on CIFAR100C (test)
34.76Top-1 AccuracyAdaFocal
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| AdaFocalBackbone=ResNet-502026.05 | 34.76 | 0.9169 | 37.89 | 94 | 0.82 | 32.83 | |
| LogitNorm + RefCalBackbone=ResNet-502026.05 | 33.93 | 0.9067 | 32.61 | 3 | 1.28 | 29.55 | |
| NLL (CE) + RefCalBackbone=ResNet-502026.05 | 32.97 | 0.9172 | 16.93 | 73 | 0.71 | 16.79 | |
| CE+TS + RefCalBackbone=ResNet-502026.05 | 32.97 | 0.9254 | 2.17 | 59 | 0.69 | 2.18 | |
| CRL + RefCalBackbone=ResNet-502026.05 | 32.96 | 0.9172 | 16.94 | 73 | 0.71 | 16.79 | |
| AdaFocal + RefCalBackbone=ResNet-502026.05 | 32.43 | 0.9261 | 7.78 | 68 | 0.7 | 7.78 | |
| FL+ MDCA + RefCalBackbone=ResNet-502026.05 | 32.25 | 0.9198 | 10.98 | 69 | 0.7 | 10.96 | |
| MMCE + RefCalBackbone=ResNet-502026.05 | 32.22 | 0.9321 | 2 | 65 | 0.76 | 2 | |
| AUCM + RefCalBackbone=ResNet-502026.05 | 31.36 | 0.9295 | 29.47 | 8 | 1.34 | 27.36 | |
| LS + RefCalBackbone=ResNet-502026.05 | 30.01 | 0.9175 | 14.86 | 56 | 0.93 | 14.78 | |
| MbLS + RefCalBackbone=ResNet-502026.05 | 29.95 | 0.9211 | 9.3 | 62 | 0.85 | 9.29 | |
| LogitNormBackbone=ResNet-502026.05 | 25.56 | 0.8434 | 24.03 | 5 | 1.01 | 23.18 | |
| NLL (CE)Backbone=ResNet-502026.05 | 24.81 | 0.8408 | 24.73 | 80 | 0.79 | 23.84 | |
| CE+TSBackbone=ResNet-502026.05 | 24.81 | 0.8509 | 5.3 | 57 | 0.62 | 5.22 | |
| MMCEBackbone=ResNet-502026.05 | 23.54 | 0.8415 | 24.85 | 77 | 0.78 | 23.9 | |
| LSBackbone=ResNet-502026.05 | 23.53 | 0.8008 | 3.36 | 35 | 0.49 | 3.32 | |
| MbLSBackbone=ResNet-502026.05 | 23.47 | 0.008 | 19.12 | 64 | 0.66 | 18.97 | |
| CRLBackbone=ResNet-502026.05 | 23.34 | 0.8662 | 7.21 | 62 | 0.64 | 7.11 | |
| FL+ MDCABackbone=ResNet-502026.05 | 22.83 | 0.8503 | 11.9 | 69 | 0.72 | 11.89 | |
| AUCMBackbone=ResNet-502026.05 | 19.02 | 0.8371 | 5.75 | 68 | 0.68 | 5.57 |