Network Pruning On Imagenet Resnet 50 90
평가 지표
Top-1 Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Top-1 Accuracy |
|---|---|
| feather-an-elegant-solution-to-effective-dnn | 76.93 |
| ac-dc-alternating-compressed-decompressed | 75.64 |
| soft-threshold-weight-reparameterization-for | 73.91 |
| winning-the-lottery-with-continuous-1 | 75.5 |
| are-straight-through-gradients-and-soft | 76.03 |
| effective-sparsification-of-neural-networks | 74.68 |
| soft-threshold-weight-reparameterization-for | 74.31 |
| 190600586 | 74 |
| spartan-differentiable-sparsity-via | 76.17 |