Image Classification on ImageNet 1% imgs (train val)
72.3Top-1 AccuracyiBOT-vMF
Evaluation results
| Method | Links | |
|---|---|---|
| iBOT-vMFArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 72.3 | |
| DINO-vMFArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 70.4 | |
| iBOTArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 69.9 | |
| MSNArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 69.1 | |
| DINOArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 67.2 | |
| MSNArchitecture=ViT-Small/16, Evaluation Protocol=Linear Classification2024.05 | 67.2 | |
| DINO-vMFArchitecture=ViT-Small/16, Evaluation Protocol=Linear Classification2024.05 | 65 | |
| DINOArchitecture=ViT-Small/16, Evaluation Protocol=Linear Classification2024.05 | 64.5 |