Image Classification On Cinic 10
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| cinic-10-is-not-imagenet-or-cifar-10 | 91.45 |
| efficient-adaptive-ensembling-for-image | 95.064 |
| neural-architecture-transfer | 94.1 |
| cinic-10-is-not-imagenet-or-cifar-10 | 90.27 |
| neural-architecture-transfer | 93.4 |
| neural-architecture-transfer | 94.3 |
| cinic-10-is-not-imagenet-or-cifar-10 | 87.77 |
| cinic-10-is-not-imagenet-or-cifar-10 | 91.26 |
| reduction-of-class-activation-uncertainty | 95.80 |