Image Classification on ImageNet-C blind-spot subset level 5
53Accuracy (N)ZeroSiam
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ZeroSiamBackbone=ViT-Base, Batch Size=12025.09 | 53 | 60.4 | 71.6 | 70.2 | — | |
| ZeroSiamBackbone=Swin-Tiny, Batch Size=12025.09 | 46.5 | 42.1 | 58.8 | 54.7 | — | |
| ZeroSiamBackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 43.3 | 40.3 | 61.9 | 55 | — | |
| COMEBackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 41.4 | 16.4 | 31.1 | 36.1 | — | |
| COMEBackbone=Swin-Tiny, Batch Size=12025.09 | 40.5 | 9.5 | 25.3 | 26.9 | — | |
| ZeroSiamBackbone=ResNet50-GN, Batch Size=12025.09 | 39.9 | 36.6 | 53.9 | 52.7 | — | |
| DeYOBackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 35.2 | 12.2 | 35 | 33 | — | |
| SARBackbone=ViT-Base, Batch Size=12025.09 | 31.1 | 55 | 54 | 56.4 | — | |
| EATABackbone=Swin-Tiny, Batch Size=12025.09 | 27.4 | 22.4 | 49.1 | 26.8 | — | |
| SARBackbone=Swin-Tiny, Batch Size=12025.09 | 27 | 22.2 | 49.3 | 23.8 | — | |
| SARBackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 26.4 | 24.6 | 50.7 | 35.1 | — | |
| EATABackbone=ViT-Base, Batch Size=12025.09 | 26.3 | 43.5 | 53.2 | 57.5 | — | |
| ZeroSiamBackbone=ViT-Small, Batch Size=12025.09 | 26.1 | 49.8 | 61.8 | 61.1 | — | |
| NoAdaptBackbone=Swin-Tiny, Batch Size=12025.09 | 25.9 | 21.6 | 50.6 | 25.8 | — | |
| EATABackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 25.8 | 24.7 | 51.6 | 35.7 | — | |
| NoAdaptBackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 23.7 | 24.6 | 52.2 | 35.3 | — | |
| EATABackbone=ResNet50-GN, Batch Size=12025.09 | 19.5 | 19 | 44.2 | 40.2 | — | |
| NoAdaptBackbone=ResNet50-GN, Batch Size=12025.09 | 18.6 | 19.4 | 47.7 | 33.9 | — | |
| COMEBackbone=ResNet50-GN, Batch Size=12025.09 | 18.6 | 19.4 | 47.6 | 33.8 | — | |
| SARBackbone=ResNet50-GN, Batch Size=12025.09 | 17.9 | 18.4 | 35.6 | 31.6 | — | |
| TentBackbone=ConvNeXt-Tiny, Batch Size=12025.09 | 17.9 | 19.7 | 36.3 | 31 | — | |
| NoAdaptBackbone=ViT-Base, Batch Size=12025.09 | 8.1 | 28.4 | 36.1 | 41.7 | — | |
| SARBackbone=ViT-Small, Batch Size=12025.09 | 2 | 30.4 | 42 | 43.3 | — | |
| EATABackbone=ViT-Small, Batch Size=12025.09 | 2 | 26.5 | 32.8 | 41.7 | — | |
| NoAdaptBackbone=ViT-Small, Batch Size=12025.09 | 1.8 | 23.3 | 27.8 | 33.6 | — | |
| COMEBackbone=ViT-Small, Batch Size=12025.09 | 1 | 37 | 55.9 | 46.2 | — | |
| DeYOBackbone=ResNet50-GN, Batch Size=12025.09 | 0.5 | 9.4 | 21 | 40 | — | |
| TentBackbone=ResNet50-GN, Batch Size=12025.09 | 0.2 | 5.2 | 16.8 | 28.1 | — | |
| TentBackbone=ViT-Base, Batch Size=12025.09 | 0.2 | 42.9 | 20 | 52 | — | |
| DeYOBackbone=ViT-Base, Batch Size=12025.09 | 0.2 | 47.2 | 72.6 | 71.4 | — | |
| DeYOBackbone=ViT-Small, Batch Size=12025.09 | 0.2 | 38.2 | 60.2 | 61.7 | — | |
| TentBackbone=Swin-Tiny, Batch Size=12025.09 | 0.2 | 8 | 22.2 | 13 | — | |
| DeYOBackbone=Swin-Tiny, Batch Size=12025.09 | 0.2 | 8.8 | 25.7 | 23.9 | — | |
| COMEBackbone=ViT-Base, Batch Size=12025.09 | 0.1 | 44.8 | 70.9 | 69.7 | — | |
| TentBackbone=ViT-Small, Batch Size=12025.09 | 0.1 | 40 | 36.3 | 42.8 | — | |
| COMEBackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 33.6 | |
| DeYOBackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 29.8 | |
| EATABackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 33.5 | |
| NoAdaptBackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 29 | |
| SARBackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 33.8 | |
| TentBackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 21.7 | |
| ZeroSiamBackbone=Overall (Across Backbones), Batch Size=12025.09 | — | — | — | — | 52 |