Image Classification on CIFAR-100 (test) (Pruning and Specific Error Metrics)
74.64Baseline AccuracyZhao et al.
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Zhao et al.Backbone=DenseNet-402026.01 | 74.64 | 72.19 | 2.45 | 22.67 | 37.73 | |
| SCAPBackbone=DenseNet-40, t=0.52026.01 | 72.95 | 68.19 | 4.76 | 74.77 | 73.66 | |
| SCAPBackbone=DenseNet-40, t=0.62026.01 | 72.95 | 64.54 | 8.41 | 83.96 | 83.7 | |
| Li et al.Backbone=DenseNet-402026.01 | 72.85 | 72.07 | 0.78 | 41.87 | 18.22 | |
| l1-normBackbone=DenseNet-402026.01 | 72.85 | 71.89 | 0.96 | 41.87 | 18.22 |