Image Classification on ImageNet ReaL 6 (val)
0.91AccuracySoViT-400m/14
Evaluation Results
| Method | Links | |
|---|---|---|
| SoViT-400m/14Pretraining=JFT-3B, Input resolution=518x518, Parameters=428M, FLOPs=1374G, Fine-tuning=true2023.05 | 0.91 | |
| SoViT-400m/14Pretraining=JFT-3B, Input resolution=384x384, Parameters=428M, FLOPs=672G, Fine-tuning=true2023.05 | 0.909 | |
| ViT-g/14Pretraining=JFT-3B, Input resolution=518x518, Parameters=1011M, FLOPs=3208G, Fine-tuning=true2023.05 | 0.909 | |
| MAE-WSPPretraining=IG-3B, Input resolution=518x518, Parameters=1890M, FLOPs=5679G, Fine-tuning=true2023.05 | 0.909 | |
| ViT-G/14Pretraining=JFT-3B, Input resolution=518x518, Parameters=1882M, FLOPs=5668G, Fine-tuning=true2023.05 | 0.908 | |
| ViT-L/16Pretraining=JFT-3B, Input resolution=384x384, Parameters=303M, FLOPs=383G, Fine-tuning=true2023.05 | 0.904 | |
| SoViT-400m/14Pretraining=JFT-3B, Input resolution=224x224, Parameters=428M, FLOPs=221G, Fine-tuning=true2023.05 | 0.903 |