Image Classification on CIFAR-100 (test) (Baseline vs Pruned Performance)
0.7369Baseline AccuracyPCC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PCCModel=ResNet-1102026.01 | 0.7369 | 0.6802 | 0.0567 | 0.7463 | 0.7572 | |
| SCAPModel=ResNet-110, tau=0.52026.01 | 0.7126 | 0.6646 | 0.048 | 0.7705 | 0.7484 | |
| SCAPModel=ResNet-110, tau=0.62026.01 | 0.7126 | 0.6316 | 0.081 | 0.8438 | 0.8436 | |
| l1-normModel=ResNet-1102026.01 | 0.7095 | 0.6988 | 0.0107 | 0.5242 | 0.2072 | |
| Li et al.Model=ResNet-1102026.01 | 0.7095 | 0.7027 | 0.0068 | 0.5242 | 0.2072 | |
| FPRGModel=ResNet-1102026.01 | 0.7095 | 0.69 | 0.0195 | 0.6308 | 0.4678 |