Image Classification on ImageNet 5 imgs/cls (train val)
68.3Top-1 AcciBOT-vMF
Evaluation results
| Method | Links | |
|---|---|---|
| iBOT-vMFArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 68.3 | |
| DINO-vMFArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 66.1 | |
| MSNArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 65.5 | |
| iBOTArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 64.7 | |
| MSNArchitecture=ViT-Small/16, Evaluation Protocol=Linear Classification2024.05 | 62.8 | |
| DINOArchitecture=ViT-Base/16, Evaluation Protocol=Linear Classification2024.05 | 61.4 | |
| DINO-vMFArchitecture=ViT-Small/16, Evaluation Protocol=Linear Classification2024.05 | 59.1 | |
| DINOArchitecture=ViT-Small/16, Evaluation Protocol=Linear Classification2024.05 | 58.5 |