Continual Learning On Flowers Fine Grained 6
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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