Image Classification on CIFAR10 original (test) (Accuracy and Uncertainty Metrics)
97.9AccuracyResNet-152
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ResNet-152Backbone=ResNet-1522021.02 | 97.9 | -3.02 | -3.084 | 0.469 | — | |
| ResNet-101Backbone=ResNet-1012021.02 | 97.7 | -3.184 | -3.232 | 0.463 | — | |
| Inception v3Backbone=Inception v32021.02 | 97.5 | -3.976 | -3.625 | 0.349 | — | |
| DenseNet-169Backbone=DenseNet-1692021.02 | 97.4 | -3.345 | -3.427 | 0.343 | — | |
| DenseNet-201Backbone=DenseNet-2012021.02 | 97.4 | -3.458 | -3.467 | 0.369 | — | |
| DenseNet-121Backbone=DenseNet-1212021.02 | 97.2 | -3.651 | -3.541 | 0.302 | — | |
| ResNet-50Backbone=ResNet-502021.02 | 96.8 | -3.407 | -3.395 | 0.388 | — | |
| NASNet-A MobileBackbone=NASNet-A Mobile2021.02 | 96.8 | -3.467 | -3.436 | 0.304 | — | |
| Inception v1Backbone=Inception v12021.02 | 96.2 | -4.074 | -3.338 | 0.293 | — | |
| MobileNet v2Backbone=MobileNet v22021.02 | 95.7 | -3.624 | -3.511 | 0.291 | — | |
| LEEPtype=correlation_summary2021.02 | — | — | — | — | 0.64 | |
| LogMEtype=correlation_summary2021.02 | — | — | — | — | 0.78 | |
| NCEtype=correlation_summary2021.02 | — | — | — | — | 0.43 |