| long-tail-learning-on-cifar-100-lt-r-10 | VPT | #3 | Error Rate: 10.4 |
| long-tail-learning-on-cifar-100-lt-r-100 | VPT | #4 | Error Rate: 19 |
| long-tail-learning-on-cifar-100-lt-r-50 | VPT | #3 | Error Rate: 15.2 |
| visual-prompt-tuning-on-fgvc | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #1 | Mean Accuracy: 83.12 |
| visual-prompt-tuning-on-fgvc | VPT-Shallow (ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #3 | Mean Accuracy: 79.26 |
| visual-prompt-tuning-on-fgvc | VPT-Deep (ViT-B/16_MAE_pretrained_ImageNet-1K) | #5 | Mean Accuracy: 72.02 |
| visual-prompt-tuning-on-fgvc | VPT-Shallow (ViT-B/16_MAE_pretrained_ImageNet-1K) | #6 | Mean Accuracy: 57.84 |
| visual-prompt-tuning-on-vtab-1k-natural-7 | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #2 | Mean Accuracy: 70.27 |
| visual-prompt-tuning-on-vtab-1k-natural-7 | VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #3 | Mean Accuracy: 67.34 |
| visual-prompt-tuning-on-vtab-1k-natural-7 | VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | #5 | Mean Accuracy: 39.96 |
| visual-prompt-tuning-on-vtab-1k-natural-7 | VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | #6 | Mean Accuracy: 36.02 |
| visual-prompt-tuning-on-vtab-1k-specialized-4 | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #2 | Mean Accuracy: 83.04 |
| visual-prompt-tuning-on-vtab-1k-specialized-4 | VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #3 | Mean Accuracy: 82.26 |
| visual-prompt-tuning-on-vtab-1k-specialized-4 | VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | #5 | Mean Accuracy: 69.65 |
| visual-prompt-tuning-on-vtab-1k-specialized-4 | VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | #6 | Mean Accuracy: 60.61 |
| visual-prompt-tuning-on-vtab-1k-structured-8 | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #2 | Mean Accuracy: 42.38 |
| visual-prompt-tuning-on-vtab-1k-structured-8 | VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | #3 | Mean Accuracy: 37.55 |
| visual-prompt-tuning-on-vtab-1k-structured-8 | VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | #5 | Mean Accuracy: 27.50 |
| visual-prompt-tuning-on-vtab-1k-structured-8 | VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | #6 | Mean Accuracy: 26.57 |