Image Classification on CIFAR-10 (test) (Top-1 Accuracy and Residual Count)
89.2Top-1 AccuracyNEPENTHE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NEPENTHEApproach=NEPENTHE, Backbone=ResNet-1522024.04 | 89.2 | — | |
| NEPENTHEApproach=NEPENTHE, Backbone=ResNet-502024.04 | 89.06 | — | |
| DenseApproach=Dense, Backbone=ResNet-502024.04 | 87.37 | — | |
| NEPENTHEApproach=NEPENTHE, Backbone=MobileNetV2-0.752024.04 | 87.06 | — | |
| DenseApproach=Dense, Backbone=ResNet-1522024.04 | 85.61 | — | |
| DenseApproach=Dense, Backbone=MobileNetV2-0.752024.04 | 85.17 | — |