Image Classification on CIFAR-10 (test) (Standard Accuracy)
83.64AccuracyPruneFuse
Evaluation results
| Method | Links | |
|---|---|---|
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.5, Label Budget (b)=50%2026.03 | 83.64 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.6, Label Budget (b)=50%2026.03 | 82.77 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.7, Label Budget (b)=50%2026.03 | 82.15 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.5, Label Budget (b)=40%2026.03 | 81.5 | |
| Baseline (AL)Backbone=ViT, Label Budget (b)=50%2026.03 | 80.59 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.6, Label Budget (b)=40%2026.03 | 80.22 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.7, Label Budget (b)=40%2026.03 | 79.47 | |
| Baseline (AL)Backbone=ViT, Label Budget (b)=40%2026.03 | 76.86 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.5, Label Budget (b)=30%2026.03 | 75.61 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.6, Label Budget (b)=30%2026.03 | 75.22 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.7, Label Budget (b)=30%2026.03 | 73.87 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.5, Label Budget (b)=20%2026.03 | 71.63 | |
| Baseline (AL)Backbone=ViT, Label Budget (b)=30%2026.03 | 71.09 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.6, Label Budget (b)=20%2026.03 | 70.45 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.7, Label Budget (b)=20%2026.03 | 69.25 | |
| Baseline (AL)Backbone=ViT, Label Budget (b)=20%2026.03 | 65.62 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.5, Label Budget (b)=10%2026.03 | 59.32 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.6, Label Budget (b)=10%2026.03 | 57.8 | |
| PruneFuseBackbone=ViT, Pruning ratio (p)=0.7, Label Budget (b)=10%2026.03 | 56.17 | |
| Baseline (AL)Backbone=ViT, Label Budget (b)=10%2026.03 | 53.63 |