TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Computer Vision/Visual Prompt Tuning/VTAB-1k(Specialized<4>)

Visual Prompt Tuning on VTAB-1k(Specialized<4>)

Metric: Mean Accuracy (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Mean Accuracy▼Extra DataPaperDate↕Code
1SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)84.95NoRevisiting the Power of Prompt for Visual Tuning2024-02-04-
2SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)83.93NoRevisiting the Power of Prompt for Visual Tuning2024-02-04-
3GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)83.38NoImproving Visual Prompt Tuning for Self-supervis...2023-06-08Code
4SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)83.15NoRevisiting the Power of Prompt for Visual Tuning2024-02-04-
5VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)83.04NoVisual Prompt Tuning2022-03-23Code
6VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K)82.26NoVisual Prompt Tuning2022-03-23Code
7SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)80.9NoRevisiting the Power of Prompt for Visual Tuning2024-02-04-
8GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K)76.86NoImproving Visual Prompt Tuning for Self-supervis...2023-06-08Code
9VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K)69.65NoVisual Prompt Tuning2022-03-23Code
10VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K)60.61NoVisual Prompt Tuning2022-03-23Code