Continual Learning On Flowers Fine Grained 6
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| helpful-or-harmful-inter-task-association-in | 94.9 |
| progressive-neural-networks | 93.41 |
| extending-conditional-convolution-structures | 97.16 |
| compacting-picking-and-growing-for | 96.62 |
| packnet-adding-multiple-tasks-to-a-single | 93.04 |
| piggyback-adapting-a-single-network-to | 94.77 |