Image Classification on CIFAR-10 (Top-1 Accuracy and Pruning Efficiency)
95.2Top-1 AccDECORE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DECOREBackbone=GoogLeNet, Penalty (lambda)=5002021.06 | 95.2 | — | 23 | — | 19.8 | |
| GoogLeNetBackbone=GoogLeNet, Status=Unpruned Baseline2021.06 | 95.05 | — | 0 | — | 0 | |
| L1Backbone=GoogLeNet, Variant=Standardized by HRANK/GAL2021.06 | 94.54 | — | 42.9 | — | 32.9 | |
| HRankBackbone=GoogLeNet, Compression Rate Setting=12021.06 | 94.53 | — | 55.4 | — | 54.9 | |
| DECOREBackbone=GoogLeNet, Penalty (lambda)=2002021.06 | 94.51 | — | 80.9 | — | 78.5 | |
| DECOREBackbone=GoogLeNet, Penalty (lambda)=1752021.06 | 94.33 | — | 86.1 | — | 84.7 | |
| HRankBackbone=GoogLeNet, Compression Rate Setting=22021.06 | 94.07 | — | 69.8 | — | 70.4 | |
| DECOREBackbone=VGG16, Pruning Penalty (λ)=5002021.06 | 94.02 | — | 63 | — | 35.3 | |
| VGG16Backbone=VGG162021.06 | 93.96 | — | 0 | — | 0 | |
| GALBackbone=GoogLeNet, Sparsity Factor (X)=0.052021.06 | 93.93 | — | 49.3 | — | 38.2 | |
| VGG19Backbone=VGG192021.06 | 93.76 | — | 0 | — | 0 | |
| DECOREBackbone=VGG16, Pruning Penalty (λ)=2002021.06 | 93.56 | — | 89 | — | 64.8 | |
| HRankBackbone=VGG16, Compression Rate Setting (N)=12021.06 | 93.43 | — | 82.9 | — | 53.5 | |
| L1Backbone=VGG162021.06 | 93.4 | — | 64 | — | 34.3 | |
| Zhao et al.Backbone=VGG162021.06 | 93.18 | — | 73.3 | — | 39.1 | |
| SSS*Backbone=VGG162021.06 | 93.02 | — | 73.8 | — | 41.6 | |
| DECOREBackbone=VGG16, Pruning Penalty (λ)=1002021.06 | 92.44 | — | 96.6 | — | 81.5 | |
| HRankBackbone=VGG16, Compression Rate Setting (N)=22021.06 | 92.34 | — | 82.1 | — | 65.3 | |
| GAL-ApoZBackbone=GoogLeNet, Variant=Standardized by HRANK/GAL2021.06 | 92.11 | — | 53.7 | — | 50 | |
| GALBackbone=VGG16, Sparsity Factor (X)=0.052021.06 | 92.03 | — | 77.6 | — | 39.6 | |
| DECOREBackbone=VGG16, Pruning Penalty (λ)=502021.06 | 91.68 | — | 98.3 | — | 88.3 | |
| DECOREBackbone=VGG19, Pruning Penalty (λ)=402021.06 | 91.65 | — | 98.5 | — | 89 | |
| N2NBackbone=VGG192021.06 | 91.64 | — | 95 | — | — | |
| HRankBackbone=VGG16, Compression Rate Setting (N)=32021.06 | 91.23 | — | 92 | — | 76.5 | |
| GALBackbone=VGG16, Sparsity Factor (X)=0.12021.06 | 90.73 | — | 82.2 | — | 45.2 |