Active Learning On Cifar10 10000
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| active-learning-for-convolutional-neural | 89.92 |
| towards-robust-and-reproducible-active | 88.45 |
| sequential-graph-convolutional-network-for | 90.70 |
| towards-robust-and-reproducible-active | 85.09 |
| active-learning-on-a-budget-opposite | 93.2 |
| using-self-supervised-pretext-tasks-for | 93.1 |
| 190503677 | 91.01 |