Neural Architecture Search On Stanford Cars
Métriques
Accuracy (%)
FLOPS
PARAMS
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | FLOPS | PARAMS | Paper Title | Repository |
|---|---|---|---|---|---|
| NAT-M3 | 92.6 | 289M | 3.5M | Neural Architecture Transfer | |
| NAT-M4 | 92.9 | 369M | 3.7M | Neural Architecture Transfer | |
| NAT-M1 | 90.0 | 165M | 2.4M | Neural Architecture Transfer | |
| NAT-M2 | 92.2 | 222M | 2.7M | Neural Architecture Transfer |
0 of 4 row(s) selected.