OpenCodePapers

visual-prompt-tuning-on-fgvc

Visual Prompt Tuning
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
PaperCodeMean AccuracyModelNameReleaseDate
Revisiting the Power of Prompt for Visual Tuning86.00SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2024-02-04
Revisiting the Power of Prompt for Visual Tuning84.08SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2024-02-04
Revisiting the Power of Prompt for Visual Tuning83.26SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)2024-02-04
Visual Prompt Tuning✓ Link83.12VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2022-03-23
Improving Visual Prompt Tuning for Self-supervised Vision Transformers✓ Link83.00GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2023-06-08
Visual Prompt Tuning✓ Link79.26VPT-Shallow (ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)2022-03-23
Revisiting the Power of Prompt for Visual Tuning73.95SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)2024-02-04
Improving Visual Prompt Tuning for Self-supervised Vision Transformers✓ Link73.39GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K)2023-06-08
Visual Prompt Tuning✓ Link72.02VPT-Deep (ViT-B/16_MAE_pretrained_ImageNet-1K)2022-03-23
Visual Prompt Tuning✓ Link57.84VPT-Shallow (ViT-B/16_MAE_pretrained_ImageNet-1K)2022-03-23