Image Classification on CIFAR-10 (val) (Metrics: Top1 Acc, MACs CR)
93.96Top-1 AccuracyVGG16_BN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VGG16_BN#MACs (M)=313.742026.07 | 93.96 | 0 | |
| EdgeCompress#MACs (M)=120.552026.07 | 93.64 | 61.58 | |
| Hrank#MACs (M)=145.612026.07 | 93.43 | 53.59 | |
| Zhao et al#MACs (M)=190.002026.07 | 93.18 | 39.44 | |
| SSS#MACs (M)=183.132026.07 | 93.02 | 41.63 | |
| EdgeCompress#MACs (M)=101.182026.07 | 92.82 | 67.75 | |
| Hrank#MACs (M)=108.612026.07 | 92.34 | 65.38 | |
| GAL-0.1#MACs (M)=171.892026.07 | 90.73 | 45.21 |