Image Classification on ImageNet-1k 1.0 (val) (Accuracy, Parameter Percentage)
85.8AccuracyFull
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FullArchitecture=ConvNeXt-B2023.12 | 85.8 | 100 | |
| FullArchitecture=Swin-B2023.12 | 85.2 | 100 | |
| GPSArchitecture=ConvNeXt-B2023.12 | 84.87 | 1.9 | |
| SSFArchitecture=ConvNeXt-B2023.12 | 84.85 | 1.44 | |
| BiasArchitecture=ConvNeXt-B2023.12 | 84.63 | 1.31 | |
| AdapterArchitecture=ConvNeXt-B2023.12 | 84.49 | 1.54 | |
| GPSArchitecture=Swin-B2023.12 | 84.43 | 1.96 | |
| SSFArchitecture=Swin-B2023.12 | 84.4 | 1.47 | |
| LinearArchitecture=ConvNeXt-B2023.12 | 84.05 | 1.16 | |
| BiasArchitecture=Swin-B2023.12 | 83.92 | 1.32 | |
| GPSArchitecture=ViT-B/162023.12 | 83.91 | 1.37 | |
| AdapterArchitecture=Swin-B2023.12 | 83.82 | 1.43 | |
| FullArchitecture=ViT-B/162023.12 | 83.58 | 100 | |
| VPT-DeepArchitecture=Swin-B2023.12 | 83.44 | 1.85 | |
| VPT-ShallowArchitecture=Swin-B2023.12 | 83.29 | 1.19 | |
| LinearArchitecture=Swin-B2023.12 | 83.25 | 1.17 | |
| SSFArchitecture=ViT-B/162023.12 | 83.1 | 1.12 | |
| BiasArchitecture=ViT-B/162023.12 | 82.74 | 1 | |
| AdapterArchitecture=ViT-B/162023.12 | 82.72 | 1.16 | |
| VPT-DeepArchitecture=ViT-B/162023.12 | 82.45 | 1.42 | |
| VPT-ShallowArchitecture=ViT-B/162023.12 | 82.08 | 1.06 | |
| LinearArchitecture=ViT-B/162023.12 | 82.04 | 0.09 |