Image Classification on CIFAR-10 (test) (Top-1 Accuracy)
99.2Top-1 AccuracyiBOT
Evaluation results
| Method | Links | |
|---|---|---|
| iBOTBackbone=ViT-B/16, Evaluation Protocol=Fine-tuning2021.11 | 99.2 | |
| iBOTBackbone=ViT-S/16, Evaluation Protocol=Fine-tuning2021.11 | 99.1 | |
| DINOBackbone=ViT-B/16, Evaluation Protocol=Fine-tuning2021.11 | 99.1 | |
| Rand.Backbone=ViT-S/16, Evaluation Protocol=Fine-tuning2021.11 | 99 | |
| DINOBackbone=ViT-S/16, Evaluation Protocol=Fine-tuning2021.11 | 99 | |
| Rand.Backbone=ViT-B/16, Evaluation Protocol=Fine-tuning2021.11 | 99 | |
| BEITBackbone=ViT-B/16, Evaluation Protocol=Fine-tuning2021.11 | 99 | |
| BEITBackbone=ViT-S/16, Evaluation Protocol=Fine-tuning2021.11 | 98.6 |