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Models/SFDA2

SFDA2

Reported on 6 benchmarks across 3 tasks · 1 paper · 1 SOTA

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

Methodology5 results

Domain AdaptationonDomainNet
Accuracy· 2024-03-16
68.3
best: 71.1 (SPM)
SOTA
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834
Domain AdaptationonOffice-31
Average Accuracy· 2024-03-16
89.9
best: 96 (FFTAT)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834
Domain AdaptationonVisDA2017
Accuracy· 2024-03-16
88.1
best: 93.8 (FFTAT)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834
Domain AdaptationonVisDA2017
Accuracy· 2024-03-16
88.1
best: 93.8 (FFTAT)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834
Domain AdaptationonVisDA-2017
Accuracy· 2024-03-16
88.1
best: 93.2 (RCL)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834

Other1 result

Unsupervised Domain AdaptationonVisDA2017
Accuracy· 2024-03-16
88.1
best: 93.8 (FFTAT)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834

Computer Vision1 result

Source-Free Domain AdaptationonVisDA-2017
Accuracy· 2024-03-16
88.1
best: 93.2 (RCL)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834