Image Classification on ImageNet-A original (test)
53.7AccuracyFasterViT-6
Evaluation results
| Method | Links | |
|---|---|---|
| FasterViT-6Size (Px)=224, #Param (M)=1360.0, FLOPs (G)=142.0, Throughput (Img/Sec)=3522023.06 | 53.7 | |
| FasterViT-5Size (Px)=224, #Param (M)=975.5, FLOPs (G)=113.0, Throughput (Img/Sec)=4492023.06 | 52.7 | |
| FasterViT-4Size (Px)=224, #Param (M)=424.6, FLOPs (G)=36.6, Throughput (Img/Sec)=8492023.06 | 49 | |
| FasterViT-3Size (Px)=224, #Param (M)=159.5, FLOPs (G)=18.2, Throughput (Img/Sec)=17802023.06 | 44.2 | |
| ConvNeXt-LSize (Px)=224, #Param (M)=198.0, FLOPs (G)=34.4, Throughput (Img/Sec)=5082023.06 | 41.1 | |
| FasterViT-2Size (Px)=224, #Param (M)=75.9, FLOPs (G)=8.7, Throughput (Img/Sec)=31612023.06 | 38.2 | |
| ConvNeXt-BSize (Px)=224, #Param (M)=88.6, FLOPs (G)=15.4, Throughput (Img/Sec)=14852023.06 | 36.7 | |
| Swin-BSize (Px)=224, #Param (M)=87.8, FLOPs (G)=15.4, Throughput (Img/Sec)=12322023.06 | 35.8 | |
| Swin-SSize (Px)=224, #Param (M)=49.6, FLOPs (G)=8.5, Throughput (Img/Sec)=17202023.06 | 32.5 | |
| ConvNeXt-SSize (Px)=224, #Param (M)=50.2, FLOPs (G)=8.7, Throughput (Img/Sec)=20082023.06 | 31.3 | |
| FasterViT-1Size (Px)=224, #Param (M)=53.4, FLOPs (G)=5.3, Throughput (Img/Sec)=41882023.06 | 31.2 | |
| ConvNeXt-TSize (Px)=224, #Param (M)=28.6, FLOPs (G)=4.5, Throughput (Img/Sec)=31962023.06 | 24.2 | |
| FasterViT-0Size (Px)=224, #Param (M)=31.4, FLOPs (G)=3.3, Throughput (Img/Sec)=58022023.06 | 23.9 | |
| Swin-TSize (Px)=224, #Param (M)=28.3, FLOPs (G)=4.4, Throughput (Img/Sec)=27582023.06 | 21.6 |