SRDA (RAN)

Reported on 5 benchmarks across 1 task · 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 AdaptationonSVNH-to-MNIST
Accuracy· 2019-05-26
98.91
SOTA
Learning Smooth Representation for Unsupervised Domain Adaptation arXiv:1905.10748
Domain AdaptationonUSPS-to-MNIST
Accuracy· 2019-05-26
95.03
best: 98.75 (FAMCD)
Learning Smooth Representation for Unsupervised Domain Adaptation arXiv:1905.10748
Domain AdaptationonOffice-31
Average Accuracy· 2019-05-26
73.5
best: 96 (FFTAT)
Learning Smooth Representation for Unsupervised Domain Adaptation arXiv:1905.10748
Domain AdaptationonSYNSIG-to-GTSRB
Accuracy· 2019-05-26
93.61
best: 97.5 (DFA-MCD)
Learning Smooth Representation for Unsupervised Domain Adaptation arXiv:1905.10748
Domain AdaptationonMNIST-to-USPS
Accuracy· 2019-05-26
94.76
best: 98.8 (FACT)
Learning Smooth Representation for Unsupervised Domain Adaptation arXiv:1905.10748