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Models/DADA

DADA

Reported on 6 benchmarks across 5 tasks · 3 papers · 4 SOTA

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

Methodology3 results

Domain AdaptationonOffice-31
Average Accuracy· 2020-01-01
88
best: 96 (FFTAT)
Dual Adversarial Domain Adaptation arXiv:2001.00153
Domain AdaptationonImageCLEF-DA
Accuracy· 2020-01-01
89.3
best: 94.3 (CMKD)
Dual Adversarial Domain Adaptation arXiv:2001.00153
Domain AdaptationonOffice-31
Average Accuracy· 2019-11-27
89
best: 96 (FFTAT)
Discriminative Adversarial Domain Adaptation arXiv:1911.12036

Computer Vision2 results

Image-to-Image TranslationonSyn2Real-C
Accuracy· 2019-11-27
79.8
SOTA
Discriminative Adversarial Domain Adaptation arXiv:1911.12036
Multi-target Domain AdaptationonDomainNet
Accuracy· 2019-04-28
21.5
best: 34.5 (MCDA)
SOTA
Domain Agnostic Learning with Disentangled Representations arXiv:1904.12347

Medical1 result

Image GenerationonSyn2Real-C
Accuracy· 2019-11-27
79.8
SOTA
Discriminative Adversarial Domain Adaptation arXiv:1911.12036

Miscellaneous1 result

1 Image, 2*2 StitchingonSyn2Real-C
Accuracy· 2019-11-27
79.8
SOTA
Discriminative Adversarial Domain Adaptation arXiv:1911.12036