Image Classification on ImageNet-S Sketch 1.0 (val)
55Top-1 AccConvNeXt-XL
Evaluation results
| Method | Links | |
|---|---|---|
| ConvNeXt-XLData/Size=22K/384^2, FLOPs (G)=179, Params (M)=350.22022.01 | 55 | |
| ConvNeXt-LData/Size=22K/384^2, FLOPs (G)=101, Params (M)=197.82022.01 | 52.8 | |
| ConvNeXt-BData/Size=22K/384^2, FLOPs (G)=45.1, Params (M)=88.62022.01 | 51.6 | |
| ConvNeXt-BData/Size=1K/224^2, FLOPs (G)=15.4, Params (M)=88.62022.01 | 38.2 | |
| RVT-B*Data/Size=1K/224^2, FLOPs (G)=17.7, Params (M)=91.82022.01 | 36 | |
| RVT-S*Data/Size=1K/224^2, FLOPs (G)=4.7, Params (M)=23.32022.01 | 34.7 | |
| ConvNeXt-TData/Size=1K/224^2, FLOPs (G)=4.5, Params (M)=28.62022.01 | 33.8 | |
| Swin-BData/Size=1K/224^2, FLOPs (G)=15.4, Params (M)=87.82022.01 | 32.4 | |
| Swin-TData/Size=1K/224^2, FLOPs (G)=4.5, Params (M)=28.32022.01 | 29.1 | |
| ResNet-50Data/Size=1K/224^2, FLOPs (G)=4.1, Params (M)=25.62022.01 | 24.1 | |
| Patch-base NSalpha=2, base_method=MoCo-v22021.10 | 18.58 | |
| MoCo-v22021.10 | 17.47 | |
| MoCHibase_method=MoCo-v22021.10 | 16.32 |