Continual Learning On Wikiart Fine Grained 6
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
---|---|---|---|
ProgressiveNet | 74.94 | Progressive Neural Networks | |
CPG | 77.15 | Compacting, Picking and Growing for Unforgetting Continual Learning | |
H$^{2}$ | 75.1 | Helpful or Harmful: Inter-Task Association in Continual Learning | |
CondConvContinual | 78.32 | EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING | |
Piggyback | 71.33 | Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights | |
PackNet | 69.40 | PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning |
0 of 6 row(s) selected.