Image Classification on ImageNet-1K Regular (val)
0.845Top-1 AccuracySwin-B
Evaluation Results
| Method | Links | |
|---|---|---|
| Swin-Bimage size=384x384, #param.=88M, FLOPs=47.0G, throughput (image/s)=84.72021.03 | 0.845 | |
| EffNet-B7image size=600x600, #param.=66M, FLOPs=37.0G, throughput (image/s)=55.12021.03 | 0.843 | |
| EffNet-B6image size=528x528, #param.=43M, FLOPs=19.0G, throughput (image/s)=96.92021.03 | 0.84 | |
| EffNet-B5image size=456x456, #param.=30M, FLOPs=9.9G, throughput (image/s)=169.12021.03 | 0.836 | |
| Swin-Bimage size=224x224, #param.=88M, FLOPs=15.4G, throughput (image/s)=278.12021.03 | 0.835 | |
| DeiT-Bimage size=384x384, #param.=86M, FLOPs=55.4G, throughput (image/s)=85.92021.03 | 0.831 | |
| Swin-Simage size=224x224, #param.=50M, FLOPs=8.7G, throughput (image/s)=436.92021.03 | 0.83 | |
| RegNetY-16Gimage size=224x224, #param.=84M, FLOPs=16.0G, throughput (image/s)=334.72021.03 | 0.829 | |
| EffNet-B4image size=380x380, #param.=19M, FLOPs=4.2G, throughput (image/s)=349.42021.03 | 0.829 | |
| DeiT-Bimage size=224x224, #param.=86M, FLOPs=17.5G, throughput (image/s)=292.32021.03 | 0.818 | |
| RegNetY-8Gimage size=224x224, #param.=39M, FLOPs=8.0G, throughput (image/s)=591.62021.03 | 0.817 | |
| EffNet-B3image size=300x300, #param.=12M, FLOPs=1.8G, throughput (image/s)=732.12021.03 | 0.816 | |
| Swin-Timage size=224x224, #param.=29M, FLOPs=4.5G, throughput (image/s)=755.22021.03 | 0.813 | |
| RegNetY-4Gimage size=224x224, #param.=21M, FLOPs=4.0G, throughput (image/s)=1156.72021.03 | 0.8 | |
| DeiT-Simage size=224x224, #param.=22M, FLOPs=4.6G, throughput (image/s)=940.42021.03 | 0.798 | |
| ViT-B/16image size=384x384, #param.=86M, FLOPs=55.4G, throughput (image/s)=85.92021.03 | 0.779 | |
| ViT-L/16image size=384x384, #param.=307M, FLOPs=190.7G, throughput (image/s)=27.32021.03 | 0.765 |