Image Classification on CIFAR-10 (test) (Pruning Efficiency Analysis)
94.59Baseline AccuracyPCC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PCCBackbone=VGG-162026.01 | 94.59 | 94.12 | 0.47 | 66.19 | 84.41 | |
| l1-normBackbone=VGG-162026.01 | 93.96 | 93.4 | 0.56 | 34.34 | 63.95 | |
| SSSBackbone=VGG-162026.01 | 93.96 | 93.02 | 0.94 | 41.62 | 73.77 | |
| GAL-0.05Backbone=VGG-162026.01 | 93.96 | 92.03 | 1.93 | 39.6 | 77.6 | |
| GAL-0.1Backbone=VGG-162026.01 | 93.96 | 90.73 | 3.23 | 45.2 | 82.2 | |
| HRankBackbone=VGG-162026.01 | 93.96 | 92.34 | 1.62 | 65.3 | 82.1 | |
| CSHEBackbone=VGG-162026.01 | 93.96 | 92 | 1.96 | 69 | 82.1 | |
| Chen et al.Backbone=VGG-162026.01 | 93.91 | 93.17 | 0.74 | 52.3 | 45.7 | |
| Zhao et al.Backbone=VGG-162026.01 | 93.83 | 93.18 | 0.65 | 39.4 | 73.3 | |
| CPBackbone=VGG-162026.01 | 93.59 | 93.18 | 0.41 | 39.1 | 73.3 | |
| SCAPBackbone=VGG-16, tau=0.52026.01 | 93.44 | 92.67 | 0.77 | 81.85 | 92.37 | |
| SCAPBackbone=VGG-16, tau=0.62026.01 | 93.44 | 91.77 | 1.67 | 90.11 | 96.3 |