Image Classification on ImageNet-1K (ImageNet-21K Pre-training) (test)
87.5Top-1 AccCSWin-L
Evaluation Results
| Method | Links | |
|---|---|---|
| CSWin-LParam=173M, Size=384x384, FLOPs=96.8G, Pre-training=ImageNet-21K2021.07 | 87.5 | |
| Swin-LParam=197M, Size=384x384, FLOPs=103.9G, Pre-training=ImageNet-21K2021.07 | 87.3 | |
| CSWin-BParam=78M, Size=384x384, FLOPs=47.0G, Pre-training=ImageNet-21K2021.07 | 87 | |
| CSWin-LParam=173M, Size=224x224, FLOPs=31.5G, Pre-training=ImageNet-21K2021.07 | 86.5 | |
| Swin-BParam=88M, Size=384x384, FLOPs=47.1G, Pre-training=ImageNet-21K2021.07 | 86.4 | |
| Swin-LParam=197M, Size=224x224, FLOPs=34.5G, Pre-training=ImageNet-21K2021.07 | 86.3 | |
| CSWin-BParam=78M, Size=224x224, FLOPs=15.0G, Pre-training=ImageNet-21K2021.07 | 85.9 | |
| R-152x4Param=937M, Size=480x480, FLOPs=840.5G, Pre-training=ImageNet-21K2021.07 | 85.4 | |
| ViT-L/16Param=307M, Size=384x384, FLOPs=190.7G, Pre-training=ImageNet-21K2021.07 | 85.2 | |
| Swin-BParam=88M, Size=224x224, FLOPs=15.4G, Pre-training=ImageNet-21K2021.07 | 85.2 | |
| R-101x3Param=388M, Size=384x384, FLOPs=204.6G, Pre-training=ImageNet-21K2021.07 | 84.4 | |
| ViT-B/16Param=86M, Size=384x384, FLOPs=55.4G, Pre-training=ImageNet-21K2021.07 | 84 |