Continual Learning On Cifar100 20 Tasks
Metriken
Average Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Average Accuracy |
|---|---|
| cross-modal-learning-for-domain-adaptation-in | 92.98 |
| extending-conditional-convolution-structures | 77.0 |
| boosting-a-model-zoo-for-multi-task-and | 94.99 |
| increasingly-packing-multiple-facial | 77.1 |
| compacting-picking-and-growing-for | 80.9 |
| revisiting-a-knn-based-image-classification | 90.8 |
| packnet-adding-multiple-tasks-to-a-single | 67.5 |
| extending-conditional-convolution-structures | 77.4 |
| understanding-catastrophic-forgetting-and | 81 |