Image Classification on CIFAR-100 (Accuracy and Efficiency)
0.07Inference GFLOPSGMP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GMPSparsity=94.95%, Backbone=WideResNet2021.06 | 0.07 | — | 1.41 | |
| GMPSparsity=89.96%, Backbone=WideResNet2021.06 | 0.08 | — | 1.44 | |
| AC/DC-20Sparsity=94.95%, Backbone=WideResNet2021.06 | 0.08 | — | 0.47 | |
| AC/DC-14Sparsity=94.95%, Backbone=WideResNet2021.06 | 0.08 | 78.5 | 0.41 | |
| AC/DC-7Sparsity=94.95%, Backbone=WideResNet2021.06 | 0.08 | 77.8 | 0.33 | |
| AC/DC-20Sparsity=89.96%, Backbone=WideResNet2021.06 | 0.14 | — | 0.51 | |
| AC/DC-14Sparsity=89.96%, Backbone=WideResNet2021.06 | 0.14 | 79 | 0.47 | |
| AC/DC-7Sparsity=89.96%, Backbone=WideResNet2021.06 | 0.14 | 78.4 | 0.39 | |
| GMPSparsity=74.96%, Backbone=WideResNet2021.06 | 0.26 | — | 1.52 | |
| AC/DC-20Sparsity=74.96%, Backbone=WideResNet2021.06 | 0.29 | — | 0.6 | |
| AC/DC-14Sparsity=74.96%, Backbone=WideResNet2021.06 | 0.29 | 79.5 | 0.59 | |
| AC/DC-7Sparsity=74.96%, Backbone=WideResNet2021.06 | 0.29 | 79.7 | 0.54 | |
| GMPSparsity=49.98%, Backbone=WideResNet2021.06 | 0.46 | — | 1.64 | |
| AC/DC-7Sparsity=49.98%, Backbone=WideResNet2021.06 | 0.49 | 79.92 | 0.73 | |
| AC/DC-20Sparsity=49.98%, Backbone=WideResNet2021.06 | 0.5 | — | 0.72 | |
| AC/DC-14Sparsity=49.98%, Backbone=WideResNet2021.06 | 0.5 | 79.99 | 0.75 | |
| DenseSparsity=0%, Backbone=WideResNet2021.06 | 11.9 | — | 0.36 |