Image Classification on CIFAR-100 (test) (Pruning and Error Analysis)
71.45Baseline AccuracyPCC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PCCModel=ResNet-562026.01 | 71.45 | 65.43 | 6.02 | 72.2 | 73.97 | |
| ℓ1-normModel=ResNet-562026.01 | 70.83 | 69.1 | 1.73 | 47.02 | 17.5 | |
| Li et al.Model=ResNet-562026.01 | 70.83 | 69.99 | 0.84 | 47.02 | 17.5 | |
| FPRGModel=ResNet-562026.01 | 70.83 | 68.73 | 2.1 | 60.32 | 33.01 | |
| SCAPModel=ResNet-56, tau=0.52026.01 | 70.82 | 65.42 | 5.4 | 69.27 | 74.43 | |
| SCAPModel=ResNet-56, tau=0.62026.01 | 70.82 | 57.61 | 13.21 | 82.06 | 87.12 |