Image Classification on ImageNet sub-tasks S7-S9 (50 classes)
95.04Accuracy (S7/50)Anchor Model
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Anchor ModelFine-tuning=false, Backbone=DeiT-Base2025.04 | 95.04 | 94.2 | 94.92 | 94.72 | |
| DeiT-Base (FT)Fine-tuning=true, Backbone=DeiT-Base2025.04 | 95 | 93.36 | 94.68 | 94.35 | |
| NuWa (FT)Pruning Rate=0.40, Fine-tuning=true2025.04 | 93.96 | 93.52 | 94.8 | 94.09 | |
| NuWaPruning Rate=0.40, Fine-tuning=false2025.04 | 93.68 | 92.88 | 94.44 | 93.67 | |
| RECAPPruning Rate=0.40, Fine-tuning=false2025.04 | 93.48 | 92.84 | 93.8 | 93.37 | |
| X-PrunerPruning Rate=0.40, Fine-tuning=false2025.04 | 92.88 | 92.52 | 93.64 | 93.01 | |
| MDPPruning Rate=0.40, Fine-tuning=false2025.04 | 92.8 | 92.12 | 93.24 | 92.72 | |
| RandomPruning Rate=0.40, Fine-tuning=false2025.04 | 92.64 | 91.32 | 92.88 | 92.28 | |
| NuWa (FT)Pruning Rate=0.60, Fine-tuning=true2025.04 | 92.32 | 92.12 | 93.44 | 92.63 | |
| X-PrunerPruning Rate=0.60, Fine-tuning=false2025.04 | 90.24 | 88.18 | 90.07 | 89.5 | |
| MDPPruning Rate=0.60, Fine-tuning=false2025.04 | 90 | 85 | 90.04 | 88.35 | |
| RandomPruning Rate=0.60, Fine-tuning=false2025.04 | 89.48 | 87.64 | 89.64 | 88.92 | |
| DC-ViTPruning Rate=0.40, Fine-tuning=false2025.04 | 88.88 | 87.96 | 88.16 | 88.33 | |
| RECAPPruning Rate=0.60, Fine-tuning=false2025.04 | 88.6 | 87.88 | 89.16 | 88.55 | |
| NuWaPruning Rate=0.60, Fine-tuning=false2025.04 | 85.32 | 86.2 | 85.96 | 85.83 | |
| DeiT-BaseFine-tuning=false, Backbone=DeiT-Base2025.04 | 80.48 | 79.64 | 84.96 | 81.69 | |
| DC-ViTPruning Rate=0.60, Fine-tuning=false2025.04 | 69.84 | 69.44 | 71.32 | 70.2 |