Image Classification on ImageNet 2 images per class 1K (test)
66.4Top-1 AccuracyMSN
Evaluation results
| Method | Links | |
|---|---|---|
| MSNArchitecture=ViT-L/7, Epochs=2002022.04 | 66.4 | |
| MSNArchitecture=ViT-B/8, Epochs=6002022.04 | 64.9 | |
| MSNArchitecture=ViT-B/4, Epochs=3002022.04 | 64.6 | |
| MSNArchitecture=ViT-B/16, Epochs=6002022.04 | 58.9 | |
| iBOTArchitecture=ViT-B/16, Epochs=4002022.04 | 56.2 | |
| DINOArchitecture=ViT-S/8, Epochs=8002022.04 | 56 | |
| DINOArchitecture=ViT-B/8, Epochs=3002022.04 | 55.9 | |
| MSNArchitecture=ViT-S/16, Epochs=8002022.04 | 55.8 | |
| DINOArchitecture=ViT-B/16, Epochs=4002022.04 | 51.9 | |
| iBOTArchitecture=ViT-S/16, Epochs=8002022.04 | 50.8 | |
| DINOArchitecture=ViT-S/16, Epochs=8002022.04 | 48.9 | |
| MAEArchitecture=ViT-B/16, Epochs=16002022.04 | 25 | |
| MAEArchitecture=ViT-L/16, Epochs=16002022.04 | 19.3 | |
| MAEArchitecture=ViT-H/14, Epochs=16002022.04 | 18.6 |