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Models/LEAD

LEAD

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Methodology4 results

Domain AdaptationonVisDA2017
H-score· 2024-03-06
76.6
best: 90.36 (TASC)
SOTA
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421
Domain AdaptationonOffice-31
H-score· 2024-03-06
87.8
best: 95.95 (UniAM)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421
Domain AdaptationonOffice-Home
H-Score· 2024-03-06
75
best: 89.44 (TASC)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421
Domain AdaptationonDomainNet
H-Score· 2024-03-06
50.8
best: 73.28 (TASC)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421

Computer Vision4 results

Universal Domain AdaptationonVisDA2017
H-score· 2024-03-06
76.6
best: 90.36 (TASC)
SOTA
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421
Universal Domain AdaptationonOffice-31
H-score· 2024-03-06
87.8
best: 95.95 (UniAM)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421
Universal Domain AdaptationonOffice-Home
H-Score· 2024-03-06
75
best: 89.44 (TASC)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421
Universal Domain AdaptationonDomainNet
H-Score· 2024-03-06
50.8
best: 73.28 (TASC)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation arXiv:2403.03421