Image Classification on ImageNet 1K (val) (Speedup)
2.13SpeedupThreshold-ℓ2
Evaluation Results
| Method | Links | |
|---|---|---|
| Threshold-ℓ2Backend=Triton (ours), Token Pruning Ratio=90%2026.04 | 2.13 | |
| DynamicViTBackend=Triton (ours), Token Pruning Ratio=90%2026.04 | 2.06 | |
| EViTBackend=Triton (ours), Token Pruning Ratio=90%2026.04 | 1.94 | |
| ATSBackend=Triton (ours), Token Pruning Ratio=90%2026.04 | 1.65 | |
| Threshold-ℓ2Backend=Triton (ours), Token Pruning Ratio=50%2026.04 | 1.37 | |
| DynamicViTBackend=Triton (ours), Token Pruning Ratio=50%2026.04 | 1.33 | |
| EViTBackend=Triton (ours), Token Pruning Ratio=50%2026.04 | 1.28 | |
| ATSBackend=Triton (ours), Token Pruning Ratio=50%2026.04 | 1.14 | |
| Threshold-ℓ2Backend=PyTorch (padded), Token Pruning Ratio=50%2026.04 | 0.62 | |
| Threshold-ℓ2Backend=PyTorch (padded), Token Pruning Ratio=90%2026.04 | 0.62 | |
| DynamicViTBackend=PyTorch (padded), Token Pruning Ratio=50%2026.04 | 0.61 | |
| DynamicViTBackend=PyTorch (padded), Token Pruning Ratio=90%2026.04 | 0.61 | |
| EViTBackend=PyTorch (padded), Token Pruning Ratio=50%2026.04 | 0.6 | |
| EViTBackend=PyTorch (padded), Token Pruning Ratio=90%2026.04 | 0.6 | |
| ATSBackend=PyTorch (padded), Token Pruning Ratio=50%2026.04 | 0.57 | |
| ATSBackend=PyTorch (padded), Token Pruning Ratio=90%2026.04 | 0.57 |