Image Classification on CIFAR-100 (test) (Pruning Efficiency)
74.02Baseline AccuracyPCC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PCCBackbone=VGG-162026.01 | 74.02 | 73.94 | 0.08 | 28.57 | 27.67 | |
| Zhao et al.Backbone=VGG-162026.01 | 73.54 | 73.33 | 0.21 | 18.4 | 38.1 | |
| FPGMBackbone=VGG-162026.01 | 73.51 | 72.26 | 1.25 | 51.01 | 51.01 | |
| SFPBackbone=VGG-162026.01 | 73.51 | 71.74 | 1.77 | 41.75 | 39.34 | |
| HRankBackbone=VGG-162026.01 | 73.51 | 72.43 | 1.08 | 41.23 | 55.93 | |
| COP v1Backbone=VGG-162026.01 | 73.51 | 72.63 | 0.88 | 40.31 | 65.19 | |
| Li et al.Backbone=VGG-162026.01 | 72.53 | 72.44 | 0.09 | 39.55 | 65.94 | |
| SCAPBackbone=VGG-16, tau=0.52026.01 | 71.77 | 68.26 | 3.51 | 79.62 | 84.65 | |
| SCAPBackbone=VGG-16, tau=0.62026.01 | 71.77 | 62.79 | 8.98 | 90.7 | 92.37 |