PDA (CLIP, ViT-B/16)

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

Domain AdaptationonVisDA2017
Accuracy· 2023-12-15
89.7
best: 93.8 (FFTAT)
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation arXiv:2312.09553
Domain AdaptationonOffice-31
Accuracy· 2023-12-15
91.2
best: 95.3 (PMTrans)
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation arXiv:2312.09553

Other2 results

Unsupervised Domain AdaptationonVisDA2017
Accuracy· 2023-12-15
89.7
best: 93.8 (FFTAT)
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation arXiv:2312.09553
Unsupervised Domain AdaptationonOffice-31
Accuracy· 2023-12-15
91.2
best: 95.3 (PMTrans)
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation arXiv:2312.09553