Image Classification on CIFAR-10 (test) (Pruning Efficiency Metrics)
0.9356Accuracy (Unpruned)PFEC + CLR
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PFEC + CLRModel=ResNet-1102021.05 | 0.9356 | 64.2 | — | 0.9369 | -0.13 | |
| PFECModel=ResNet-1102021.05 | 0.9353 | 32.6 | 38.7 | 0.933 | -0.23 | |
| GAL-0.5Model=ResNet-1102021.05 | 0.935 | 44.8 | 48.4 | 0.9274 | 0.76 | |
| HRankModel=ResNet-1102021.05 | 0.935 | 59.2 | 58.2 | 0.9336 | 0.14 | |
| NISPModel=ResNet-562021.05 | 0.9326 | 42.4 | 35.5 | 0.9301 | 0.25 | |
| HRankModel=ResNet-562021.05 | 0.9326 | 42.4 | 50 | 0.9317 | 0.09 | |
| GALModel=ResNet-562021.05 | 0.9326 | — | 37.6 | 0.9298 | 0.28 | |
| PFEC + CLRModel=ResNet-562021.05 | 0.9321 | 48.7 | — | 0.9329 | -0.07 | |
| PFECModel=ResNet-562021.05 | 0.9304 | 14.1 | 27.6 | 0.9306 | -0.02 |