Incremental Learning On Cifar 100 50 Classes 2
Métriques
Average Incremental Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Average Incremental Accuracy |
|---|---|
| foster-feature-boosting-and-compression-for | 67.95 |
| large-scale-incremental-learning-1 | 53.21 |
| resolving-task-confusion-in-dynamic-expansion | 73.50 |
| rmm-reinforced-memory-management-for-class-1 | 67.61 |
| small-task-incremental-learning | 63.19 |
| textrm-d-3-textrm-former-debiased-dual | 70.94 |
| der-dynamically-expandable-representation-for | 72.45 |
| icarl-incremental-classifier-and | 52.57 |
| resolving-task-confusion-in-dynamic-expansion | 73.72 |
| learning-a-unified-classifier-incrementally | 60.18 |
| learning-a-unified-classifier-incrementally | 60.12 |
| essentials-for-class-incremental-learning-1 | 65.86 |
| der-dynamically-expandable-representation-for | 66.36 |