Image Classification on Cifar10 (test) (Accuracy and Parameter Efficiency)
92.6% Parameters RemovedLP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LPBackbone=ResNet 56, structured=false2022.07 | 92.6 | — | |
| SInGEBackbone=ResNet 56, structured=true2022.07 | 91.3 | — | |
| DPFBackbone=ResNet 56, structured=false2022.07 | 90 | — | |
| HAPBackbone=ResNet 56, structured=true2022.07 | 90 | — | |
| LDIBackbone=ResNet 56, structured=true2022.07 | 88 | — | |
| REDBackbone=ResNet 56, structured=true2022.07 | 85 | — | |
| SInGEBackbone=ResNet 56, structured=true2022.07 | 84.3 | — | |
| LPBackbone=ResNet 56, structured=true2022.07 | 84 | — | |
| HAPBackbone=ResNet 56, structured=true2022.07 | 76.2 | — | |
| GDPBackbone=ResNet 56, structured=true2022.07 | 65.6 | — |