Continual Learning On Sketch Fine Grained 6
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| helpful-or-harmful-inter-task-association-in | 76.2 |
| extending-conditional-convolution-structures | 80.77 |
| packnet-adding-multiple-tasks-to-a-single | 76.17 |
| compacting-picking-and-growing-for | 80.33 |
| progressive-neural-networks | 76.35 |
| piggyback-adapting-a-single-network-to | 79.91 |