Image Classification on ImageNet 1k (val) (Pruning Evaluation)
79.17Top-1 Prune AccuracyKnapsack Pruning
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Knapsack PruningModel=ResNet-101, FLOPS=2.48E9, Prune Ratio=69.21%2020.02 | 79.17 | 1.25 | 94.54 | 0.63 | |
| Knapsack PruningModel=ResNet-101, FLOPS=1.81E9, Prune Ratio=77.50%2020.02 | 78.36 | 2.06 | 94.27 | 0.9 | |
| Knapsack PruningModel=ResNet-50, FLOPS=2.46E9, Prune Ratio=40.64%2020.02 | 78.2 | 0.27 | 93.98 | -0.1 | |
| Knapsack PruningModel=ResNet-50, FLOPS=2.30E9, Prune Ratio=44.47%2020.02 | 78.02 | 0.45 | 93.88 | 0 | |
| Knapsack PruningModel=ResNet-50, FLOPS=2.05E9, Prune Ratio=50.21%2020.02 | 77.8 | 0.67 | 93.78 | 0.1 | |
| Knapsack PruningModel=ResNet-101, FLOPS=1.37E9, Prune Ratio=83.00%2020.02 | 77.56 | 2.86 | 93.68 | 1.49 | |
| FPGMModel=ResNet-101, FLOPS=4.51E9, Prune Ratio=42.2%2020.02 | 77.32 | 0.05 | 93.56 | 0 | |
| AOFP-D2Model=ResNet-101, FLOPS=3.77E9, Prune Ratio=50.19%2020.02 | 76.4 | 0.23 | 93.07 | 0.22 | |
| TASModel=ResNet-50, FLOPs=2.31E9, Prune Ratio=43.5%2019.05 | 76.2 | 1.26 | 93.07 | 0.48 | |
| TASModel=ResNet-50, FLOPS=2.31E9, Prune Ratio=43.5%2020.02 | 76.2 | 1.26 | 93.07 | 0.48 | |
| AutoSlimModel=ResNet-50, FLOPs=3.00E9, Prune Ratio=26.6%2019.05 | 76 | — | — | — | |
| AutoSlimModel=ResNet-50, FLOPS=3.00E9, Prune Ratio=26.6%2020.02 | 76 | — | — | — | |
| AOFP-C1Model=ResNet-50, FLOPS=2.58E9, Prune Ratio=32.88%2020.02 | 75.53 | -0.29 | 92.69 | -0.13 | |
| FPGMModel=ResNet-50, FLOPs=2.36E9, Prune Ratio=42.2%2019.05 | 75.5 | 0.65 | 92.63 | 0.21 | |
| FPGMModel=ResNet-50, FLOPS=2.36E9, Prune Ratio=42.2%2020.02 | 75.5 | 0.65 | 92.63 | 0.21 | |
| CCPModel=ResNet-50, FLOPS=2.13E9, Prune Ratio=48.8%2020.02 | 75.5 | 0.65 | 92.62 | 0.25 | |
| Taylor-FO-BNModel=ResNet-50, FLOPS=2.66E9, Prune Ratio=35.5%2020.02 | 75.48 | 0.7 | — | — | |
| Taylor-FO-BNModel=ResNet-101, FLOPS=2.47E9, Prune Ratio=69.3%2020.02 | 75.38 | — | — | — | |
| RSNLIAModel=ResNet-101, FLOPS=4.13E9, Prune Ratio=47.0%2020.02 | 75.27 | 2.1 | — | — | |
| SlimableModel=ResNet-50, FLOPS=2.30E9, Prune Ratio=44.0%2020.02 | 74.9 | 1.2 | — | — | |
| SFPModel=ResNet-50, FLOPs=2.38E9, Prune Ratio=41.8%2019.05 | 74.61 | 1.54 | 92.06 | 0.81 | |
| SFPModel=ResNet-50, FLOPS=2.38E9, Prune Ratio=41.8%2020.02 | 74.61 | 1.54 | 92.06 | 0.81 | |
| TaylorModel=ResNet-50, FLOPs=2.25E9, Prune Ratio=44.9%2019.05 | 74.5 | 1.68 | — | — | |
| TaylorModel=ResNet-50, FLOPS=2.25E9, Prune Ratio=44.9%2020.02 | 74.5 | 1.68 | — | — | |
| SSSModel=ResNet-50, FLOPS=2.33E9, Prune Ratio=43.4%2020.02 | 71.82 | 4.3 | 90.79 | 2.07 | |
| Knapsack PruningModel=ResNet-18, FLOPS=1.17E9, Prune Ratio=35.77%2020.02 | 69.96 | 1.23 | 89.6 | 0.59 | |
| Knapsack PruningModel=ResNet-18, FLOPS=1.09E9, Prune Ratio=40.01%2020.02 | 69.35 | 1.84 | 89.23 | 0.96 | |
| TASModel=ResNet-18, FLOPs=1.21E9, Prune Ratio=33.3%2019.05 | 69.15 | 1.5 | 89.19 | 0.68 | |
| TASModel=ResNet-18, FLOPS=1.21E9, Prune Ratio=33.3%2020.02 | 69.15 | 1.5 | 89.19 | 0.68 | |
| FPGMModel=ResNet-18, FLOPs=1.06E9, Prune Ratio=41.8%2019.05 | 68.41 | 1.87 | 88.48 | 1.15 | |
| FPGMModel=ResNet-18, FLOPS=1.06E9, Prune Ratio=41.8%2020.02 | 68.41 | 1.87 | 88.48 | 1.15 | |
| SFPModel=ResNet-18, FLOPs=1.06E9, Prune Ratio=41.8%2019.05 | 67.1 | 3.18 | 87.78 | 1.85 | |
| SFPModel=ResNet-18, FLOPS=1.06E9, Prune Ratio=41.8%2020.02 | 67.1 | 3.18 | 87.78 | 1.85 | |
| LCCLModel=ResNet-18, FLOPs=1.19E9, Prune Ratio=34.6%2019.05 | 66.33 | 3.65 | 86.94 | 2.29 | |
| LCCLModel=ResNet-18, FLOPS=1.19E9, Prune Ratio=34.6%2020.02 | 66.33 | 3.65 | 86.94 | 2.29 | |
| CPModel=ResNet-50, FLOPs=2.04E9, Prune Ratio=50.0%2019.05 | — | — | 90.8 | 1.4 | |
| CPModel=ResNet-50, FLOPS=2.04E9, Prune Ratio=50.0%2020.02 | — | — | 90.8 | 1.4 |