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Models/DeepJDOT

DeepJDOT

Reported on 6 benchmarks across 2 tasks · 1 paper · 3 SOTA

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

Methodology6 results

Domain AdaptationonMNIST-to-MNIST-M
Accuracy· 2018-03-27
92.4
best: 98.7 (DRANet)
SOTA
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081
Domain AdaptationonSVNH-to-MNIST
Accuracy· 2018-03-27
96.7
best: 98.91 (SRDA (RAN))
SOTA
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081
Domain AdaptationonUSPS-to-MNIST
Accuracy· 2018-03-27
96.4
best: 98.75 (FAMCD)
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081
Domain AdaptationonVisDA2017
Accuracy· 2018-03-27
66.9
best: 93.8 (FFTAT)
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081
Domain AdaptationonMNIST-to-USPS
Accuracy· 2018-03-27
95.7
best: 98.8 (FACT)
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081
Domain AdaptationonVisDA2017
Accuracy· 2018-03-27
66.9
best: 93.8 (FFTAT)
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081

Other1 result

Unsupervised Domain AdaptationonVisDA2017
Accuracy· 2018-03-27
66.9
best: 93.8 (FFTAT)
SOTA
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv:1803.10081