Image Classification on CIFAR-10, GTSRB, UCF101, Food101, and Waterbirds
98.8CIFAR-10 AccuracyVP
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| VPArchitecture=ViT-L/162026.04 | 98.8 | 89.09 | 84.67 | 82.23 | 95.03 | 87.54 | |
| APArchitecture=ViT-L/162026.04 | 98.54 | 91.49 | 86.8 | 84.04 | 94.6 | 89.17 | |
| Norm-TuneArchitecture=ViT-L/162026.04 | 98.44 | 90.86 | 85.15 | 83.21 | 94.36 | 88.45 | |
| Full-TuneArchitecture=ViT-L/162026.04 | 98.3 | 97.9 | 89.25 | 86.16 | 97.93 | 92.34 | |
| Linear-ProbeArchitecture=ViT-L/162026.04 | 98.13 | 80.72 | 83.02 | 83.02 | 94.16 | 85.2 | |
| Full-TuneArchitecture=ResNet-1012026.04 | 97.24 | 97.68 | 88.32 | 82.72 | 96.69 | 91.69 | |
| APArchitecture=ResNet-1012026.04 | 94.08 | 90.43 | 73.96 | 68.12 | 88.13 | 80.45 | |
| Norm-TuneArchitecture=ResNet-1012026.04 | 93.9 | 96.43 | 69.44 | 72.54 | 88.95 | 79.81 | |
| VPArchitecture=ResNet-1012026.04 | 92.55 | 83.18 | 66.3 | 57.89 | 86.71 | 76.03 | |
| Linear-ProbeArchitecture=ResNet-1012026.04 | 92.25 | 79.64 | 71.03 | 64.31 | 88.11 | 75.76 |