SFDA2++

Reported on 4 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Methodology3 results

Domain AdaptationonVisDA-2017
Accuracy· 2024-03-16
89.6
best: 93.2 (RCL)
SOTA
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834
Domain AdaptationonVisDA2017
Accuracy· 2024-03-16
89.6
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
89.6
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
89.6
best: 93.2 (RCL)
SOTA
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
89.6
best: 93.8 (FFTAT)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation arXiv:2403.10834