Image Classification on ImageNet (test) (Unpruned Top-1)
76.15Unpruned Top-1 AccPFEC + CLR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PFEC + CLRModel=ResNet-50, Param reduction %=18.12021.05 | 76.15 | 76.56 | |
| PFEC + CLRModel=ResNet-50, Param reduction %=44.32021.05 | 76.15 | 75.38 | |
| PFP (lowest top-1 err.)Model=ResNet-50, Param reduction %=18, FLOPs reduction %=10.82021.05 | 76.13 | 75.91 | |
| PFP (within 1.0% top-1)Model=ResNet-50, Param reduction %=44, FLOPs reduction %=30.12021.05 | 76.13 | 75.21 |