OpenCodePapers

visual-prompt-tuning-on-vtab-1k-specialized-4

Transfer LearningVisual 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 Tuning84.95SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2024-02-04
Revisiting the Power of Prompt for Visual Tuning83.93SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2024-02-04
Improving Visual Prompt Tuning for Self-supervised Vision Transformers✓ Link83.38GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2023-06-08
Revisiting the Power of Prompt for Visual Tuning83.15SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)2024-02-04
Visual Prompt Tuning✓ Link83.04VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2022-03-23
Visual Prompt Tuning✓ Link82.26VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2022-03-23
Revisiting the Power of Prompt for Visual Tuning80.90SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)2024-02-04
Improving Visual Prompt Tuning for Self-supervised Vision Transformers✓ Link76.86GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K)2023-06-08
Visual Prompt Tuning✓ Link69.65VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)2022-03-23
Visual Prompt Tuning✓ Link60.61VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)2022-03-23