Revisiting the Power of Prompt for Visual Tuning

Benchmark Model Rank Results
visual-prompt-tuning-on-fgvcSPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 83.26
visual-prompt-tuning-on-fgvcSPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 86.00
visual-prompt-tuning-on-fgvcSPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 73.95
visual-prompt-tuning-on-fgvcSPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 84.08
visual-prompt-tuning-on-vtab-1k-natural-7SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 67.19
visual-prompt-tuning-on-vtab-1k-natural-7SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 76.20
visual-prompt-tuning-on-vtab-1k-natural-7SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 62.53
visual-prompt-tuning-on-vtab-1k-natural-7SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 74.47
visual-prompt-tuning-on-vtab-1k-specialized-4SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 83.15
visual-prompt-tuning-on-vtab-1k-specialized-4SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 84.95
visual-prompt-tuning-on-vtab-1k-specialized-4SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 80.90
visual-prompt-tuning-on-vtab-1k-specialized-4SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 83.93
visual-prompt-tuning-on-vtab-1k-structured-8SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 59.23
visual-prompt-tuning-on-vtab-1k-structured-8SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 58.36
visual-prompt-tuning-on-vtab-1k-structured-8SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)Mean Accuracy: 53.46
visual-prompt-tuning-on-vtab-1k-structured-8SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)Mean Accuracy: 55.16