Continual Learning On Flowers Fine Grained 6
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| H$^{2}$ | 94.9 | Helpful or Harmful: Inter-Task Association in Continual Learning | |
| ProgressiveNet | 93.41 | Progressive Neural Networks | |
| CondConvContinual | 97.16 | EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING | |
| CPG | 96.62 | Compacting, Picking and Growing for Unforgetting Continual Learning | |
| PackNet | 93.04 | PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning | |
| Piggyback | 94.77 | Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights |
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