Visual Prompt Tuning on VTAB-1k(Natural<7>)

Metric: Mean Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Mean Accuracy▼	Extra Data	Paper	Date↕	Code
1	SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)	76.2	No	Revisiting the Power of Prompt for Visual Tuning	2024-02-04	-
2	GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)	74.84	No	Improving Visual Prompt Tuning for Self-supervis...	2023-06-08	Code
3	SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)	74.47	No	Revisiting the Power of Prompt for Visual Tuning	2024-02-04	-
4	VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)	70.27	No	Visual Prompt Tuning	2022-03-23	Code
5	VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)	67.34	No	Visual Prompt Tuning	2022-03-23	Code
6	SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)	67.19	No	Revisiting the Power of Prompt for Visual Tuning	2024-02-04	-
7	SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)	62.53	No	Revisiting the Power of Prompt for Visual Tuning	2024-02-04	-
8	GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K)	47.61	No	Improving Visual Prompt Tuning for Self-supervis...	2023-06-08	Code
9	VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)	39.96	No	Visual Prompt Tuning	2022-03-23	Code
10	VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)	36.02	No	Visual Prompt Tuning	2022-03-23	Code

#1SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)SOTA
76.2
Mean Accuracy· 2024-02-04
Revisiting the Power of Prompt for Visual Tuning
#2GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)SOTA
74.84
Mean Accuracy· 2023-06-08
Improving Visual Prompt Tuning for Self-supervised Vision Transformers Code
#3SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)
74.47
Mean Accuracy· 2024-02-04
Revisiting the Power of Prompt for Visual Tuning
#4VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)SOTA
70.27
Mean Accuracy· 2022-03-23
Visual Prompt Tuning Code
#5VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)
67.34
Mean Accuracy· 2022-03-23
Visual Prompt Tuning Code
#6SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)
67.19
Mean Accuracy· 2024-02-04
Revisiting the Power of Prompt for Visual Tuning
#7SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)
62.53
Mean Accuracy· 2024-02-04
Revisiting the Power of Prompt for Visual Tuning
#8GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K)
47.61
Mean Accuracy· 2023-06-08
Improving Visual Prompt Tuning for Self-supervised Vision Transformers Code
#9VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)
39.96
Mean Accuracy· 2022-03-23
Visual Prompt Tuning Code
#10VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)
36.02
Mean Accuracy· 2022-03-23
Visual Prompt Tuning Code