Image Classification on ImageNet (test) (Accuracy and Efficiency)
17.2Params (%)GAL-0.5
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GAL-0.5Model=ResNet-50, Unpruned Top-1=76.152021.05 | 17.2 | 71.95 | 43 | |
| PFEC + CLRModel=ResNet-50, Unpruned Top-1=76.15, Target Complexity=GAL-0.5 level2021.05 | 17.6 | 75.26 | — | |
| GAL-1Model=ResNet-50, Unpruned Top-1=76.152021.05 | 42.6 | 69.88 | 61.4 | |
| PFEC + CLRModel=ResNet-50, Unpruned Top-1=76.15, Target Complexity=GAL-1 level2021.05 | 43.1 | 73.81 | — |