Neural Architecture Search On Food 101
Metriken
Accuracy (%)
FLOPS
PARAMS
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy (%) | FLOPS | PARAMS |
|---|---|---|---|
| neural-architecture-transfer | 88.5 | 266M | 4.1M |
| balanced-mixture-of-supernets-for-learning | - | - | - |
| neural-architecture-transfer | 87.4 | 198M | 3.1M |
| neural-architecture-transfer | 89.4 | 361M | 4.5M |
| neural-architecture-transfer | 89.0 | 299M | 3.9M |