Image Classification on CIFAR10 (test) (Top1 Accuracy and FLOPs)
13.7FLOPs (%)HALP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HALPModel=ResNet502022.10 | 13.7 | 93.2 | |
| ChipNetModel=ResNet502022.10 | 17.7 | 92.8 | |
| HALPModel=ResNet56, variant=low FLOPs2022.10 | 26.8 | 93.22 | |
| CHIPModel=ResNet562022.10 | 27.7 | 92.05 | |
| QCQPModel=DenseNet40-12+2022.10 | 29.2 | 93.8 | |
| HALPModel=DenseNet40-12+2022.10 | 29.2 | 93.15 | |
| HALPModel=ResNet56, variant=mid FLOPs2022.10 | 33.72 | 93.68 | |
| GDPModel=ResNet562022.10 | 34.36 | 93.55 |