OpenCodePapers

visual-prompt-tuning-on-vtab-1k-structured-8

Visual Prompt Tuning
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
PaperCodeMean AccuracyModelNameReleaseDate
Revisiting the Power of Prompt for Visual Tuning59.23SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)2024-02-04
Revisiting the Power of Prompt for Visual Tuning58.36SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2024-02-04
Revisiting the Power of Prompt for Visual Tuning55.16SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2024-02-04
Revisiting the Power of Prompt for Visual Tuning53.46SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)2024-02-04
Improving Visual Prompt Tuning for Self-supervised Vision Transformers✓ Link49.10GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2023-06-08
Visual Prompt Tuning✓ Link42.38VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2022-03-23
Visual Prompt Tuning✓ Link37.55VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2022-03-23
Improving Visual Prompt Tuning for Self-supervised Vision Transformers✓ Link36.80GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K)2023-06-08
Visual Prompt Tuning✓ Link27.50VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)2022-03-23
Visual Prompt Tuning✓ Link26.57VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)2022-03-23