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SotA/Methodology/Domain Adaptation/SVNH-to-MNIST

Domain Adaptation on SVNH-to-MNIST

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼AugmentationsPaperDate↕Code
1SRDA (RAN)98.91NoLearning Smooth Representation for Unsupervised ...2019-05-26Code
2SHOT98.9NoDo We Really Need to Access the Source Data? Sou...2020-02-20Code
3rRevGrad+CAT98.8NoCluster Alignment with a Teacher for Unsupervise...2019-03-24Code
4dSNE97.6No--Code
5DeepJDOT96.7NoDeepJDOT: Deep Joint Distribution Optimal Transp...2018-03-27Code
63CATN92.5NoCycle-consistent Conditional Adversarial Transfe...2019-09-17Code
7DSN (DANN)82.7NoDomain Separation Networks2016-08-22Code
8MMD [tzeng2015ddc]; [long2015learning]71.1NoLearning Transferable Features with Deep Adaptat...2015-02-10Code
9DANN [ganin2016domain]70.7NoDomain-Adversarial Training of Neural Networks2015-05-28Code