Continual Learning On Sketch Fine Grained 6
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| H$^{2}$ | 76.2 | Helpful or Harmful: Inter-Task Association in Continual Learning | |
| CondConvContinual | 80.77 | EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING | |
| PackNet | 76.17 | PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning | |
| CPG | 80.33 | Compacting, Picking and Growing for Unforgetting Continual Learning | |
| ProgressiveNet | 76.35 | Progressive Neural Networks | |
| Piggyback | 79.91 | Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights |
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