Metric: Mean Accuracy (higher is better)
| # | Model↕ | Mean Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | 86 | No | Revisiting the Power of Prompt for Visual Tuning | 2024-02-04 | - |
| 2 | SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | 84.08 | No | Revisiting the Power of Prompt for Visual Tuning | 2024-02-04 | - |
| 3 | SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | 83.26 | No | Revisiting the Power of Prompt for Visual Tuning | 2024-02-04 | - |
| 4 | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | 83.12 | No | Visual Prompt Tuning | 2022-03-23 | Code |
| 5 | GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | 83 | No | Improving Visual Prompt Tuning for Self-supervis... | 2023-06-08 | Code |
| 6 | VPT-Shallow (ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | 79.26 | No | Visual Prompt Tuning | 2022-03-23 | Code |
| 7 | SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | 73.95 | No | Revisiting the Power of Prompt for Visual Tuning | 2024-02-04 | - |
| 8 | GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K) | 73.39 | No | Improving Visual Prompt Tuning for Self-supervis... | 2023-06-08 | Code |
| 9 | VPT-Deep (ViT-B/16_MAE_pretrained_ImageNet-1K) | 72.02 | No | Visual Prompt Tuning | 2022-03-23 | Code |
| 10 | VPT-Shallow (ViT-B/16_MAE_pretrained_ImageNet-1K) | 57.84 | No | Visual Prompt Tuning | 2022-03-23 | Code |