Image Classification on ImageNet (Accuracy and Model Size)
79.84AccuracyClassifier
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ClassifierBackbone=DeiT-S2022.03 | 79.84 | 0 | — | |
| PiggybackBackbone=DeiT-S2022.03 | 79.84 | 0 | — | |
| Adaptor-BBackbone=DeiT-S2022.03 | 79.84 | 0 | — | |
| MEATBackbone=DeiT-S2022.03 | 79.84 | 0 | — | |
| ClassifierBackbone=DeiT-Ti2022.03 | 72.2 | 0 | — | |
| PiggybackBackbone=DeiT-Ti2022.03 | 72.2 | 0 | — | |
| Adaptor-BBackbone=DeiT-Ti2022.03 | 72.2 | 0 | — | |
| MEATBackbone=DeiT-Ti2022.03 | 72.2 | 0 | — | |
| ClassifierBackbone=T2T-ViT-122022.03 | 55.42 | 0 | — | |
| PiggybackBackbone=T2T-ViT-122022.03 | 55.42 | 0 | — | |
| Adaptor-BBackbone=T2T-ViT-122022.03 | 55.42 | 0 | — | |
| MEATBackbone=T2T-ViT-122022.03 | 55.42 | 0 | — | |
| IndividualBackbone=DeiT-S2022.03 | 49.78 | 0 | — | |
| IndividualBackbone=T2T-ViT-122022.03 | 32.62 | 0 | — | |
| IndividualBackbone=DeiT-Ti2022.03 | 30.82 | 0 | — | |
| LwFBackbone=T2T-ViT-122022.03 | 28.54 | 26.88 | — | |
| LwFBackbone=DeiT-Ti2022.03 | 26.24 | 45.96 | — | |
| LwFBackbone=DeiT-S2022.03 | 23.01 | 56.83 | — |