Image Classification on ImageNetV2 original (test)
0.761AccuracyFasterViT-6
Evaluation results
| Method | Links | |
|---|---|---|
| FasterViT-6Size (Px)=224, #Param (M)=1360.0, FLOPs (G)=142.0, Throughput (Img/Sec)=3522023.06 | 0.761 | |
| FasterViT-5Size (Px)=224, #Param (M)=975.5, FLOPs (G)=113.0, Throughput (Img/Sec)=4492023.06 | 0.76 | |
| FasterViT-4Size (Px)=224, #Param (M)=424.6, FLOPs (G)=36.6, Throughput (Img/Sec)=8492023.06 | 0.757 | |
| FasterViT-3Size (Px)=224, #Param (M)=159.5, FLOPs (G)=18.2, Throughput (Img/Sec)=17802023.06 | 0.75 | |
| ConvNeXt-LSize (Px)=224, #Param (M)=198.0, FLOPs (G)=34.4, Throughput (Img/Sec)=5082023.06 | 0.742 | |
| FasterViT-2Size (Px)=224, #Param (M)=75.9, FLOPs (G)=8.7, Throughput (Img/Sec)=31612023.06 | 0.737 | |
| ConvNeXt-BSize (Px)=224, #Param (M)=88.6, FLOPs (G)=15.4, Throughput (Img/Sec)=14852023.06 | 0.737 | |
| FasterViT-1Size (Px)=224, #Param (M)=53.4, FLOPs (G)=5.3, Throughput (Img/Sec)=41882023.06 | 0.726 | |
| ConvNeXt-SSize (Px)=224, #Param (M)=50.2, FLOPs (G)=8.7, Throughput (Img/Sec)=20082023.06 | 0.724 | |
| Swin-BSize (Px)=224, #Param (M)=87.8, FLOPs (G)=15.4, Throughput (Img/Sec)=12322023.06 | 0.723 | |
| Swin-SSize (Px)=224, #Param (M)=49.6, FLOPs (G)=8.5, Throughput (Img/Sec)=17202023.06 | 0.721 | |
| ConvNeXt-TSize (Px)=224, #Param (M)=28.6, FLOPs (G)=4.5, Throughput (Img/Sec)=31962023.06 | 0.71 | |
| FasterViT-0Size (Px)=224, #Param (M)=31.4, FLOPs (G)=3.3, Throughput (Img/Sec)=58022023.06 | 0.709 | |
| Swin-TSize (Px)=224, #Param (M)=28.3, FLOPs (G)=4.4, Throughput (Img/Sec)=27582023.06 | 0.697 |