Image Classification on CIFAR-10 (test) (Calibration Metrics)
1.16ECEMbLS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MbLSBackbone=ResNet-502021.11 | 1.16 | 3.18 | |
| MbLSBackbone=ResNet-1012021.11 | 1.38 | 3.25 | |
| LSBackbone=ResNet-502021.11 | 2.79 | 3.85 | |
| ECPBackbone=ResNet-502021.11 | 3.01 | 2.99 | |
| MbLS (m=0)Backbone=ResNet-101, margin=02021.11 | 3.07 | 3.97 | |
| LSBackbone=ResNet-1012021.11 | 3.56 | 4.68 | |
| MbLS (m=0)Backbone=ResNet-50, margin=02021.11 | 3.72 | 4.29 | |
| FLSDBackbone=ResNet-502021.11 | 3.84 | 3.6 | |
| FLBackbone=ResNet-502021.11 | 3.9 | 3.86 | |
| FLSDBackbone=ResNet-1012021.11 | 4.58 | 4.57 | |
| FLBackbone=ResNet-1012021.11 | 4.6 | 4.58 | |
| ECPBackbone=ResNet-1012021.11 | 5.41 | 5.4 | |
| CEBackbone=ResNet-1012021.11 | 5.74 | 5.73 | |
| CEBackbone=ResNet-502021.11 | 5.85 | 5.84 |