Sparse Learning On Imagenet
평가 지표
Top-1 Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Top-1 Accuracy |
|---|---|
| do-we-actually-need-dense-over | 73.82 |
| sparse-learning-of-stochastic-dynamic | 6 |
| sparse-training-via-boosting-pruning | 74.5 |
| rigging-the-lottery-making-all-tickets-1 | 71.9 |
| sparse-training-via-boosting-pruning | 76 |
| rigging-the-lottery-making-all-tickets-1 | 77.1 |
| do-we-actually-need-dense-over | 75.84 |
| rigging-the-lottery-making-all-tickets-1 | 68.1 |
| rigging-the-lottery-making-all-tickets-1 | 76.4 |