Image Classification on ImageNet-1k (test) (Accuracy and FLOPs Reduction)
79.85Top-1 AccuracyDeiT-S
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DeiT-SBackbone=DeiT-S2026.07 | 79.85 | 0 | |
| FusionBackbone=DeiT-S, Operating Profile=BALANCED2026.07 | 79.76 | 31.8 | |
| EViTBackbone=DeiT-S2026.07 | 79.5 | 35 | |
| ToMeBackbone=DeiT-S, r=132026.07 | 79.4 | 35 | |
| DynamicViTBackbone=DeiT-S2026.07 | 79.3 | 36.8 | |
| FusionBackbone=DeiT-S, Operating Profile=POWER_SAVE2026.07 | 79.15 | 40.1 | |
| A-ViTBackbone=DeiT-S2026.07 | 78.6 | 26 |