Fine Grained Image Classification On Bird 225
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| spinalnet-deep-neural-network-with-gradual-1 | 99.02 |
| a-comprehensive-study-on-torchvision-pre | 99.38 |
| a-comprehensive-study-on-torchvision-pre | 99.56 |
| spinalnet-deep-neural-network-with-gradual-1 | 98.67 |
| progressivespinalnet-architecture-for-fc | 99.55 |