TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Methodology/Domain Adaptation/Synth Digits-to-SVHN

Domain Adaptation on Synth Digits-to-SVHN

Metric: Accuracy (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Accuracy▼AugmentationsPaperDate↕Code
1DSN (DANN)91.2NoDomain Separation Networks2016-08-22Code
2DANN [ganin2016domain]90.3NoDomain-Adversarial Training of Neural Networks2015-05-28Code
3MMD [tzeng2015ddc]; [long2015learning]88NoLearning Transferable Features with Deep Adaptat...2015-02-10Code
4CORAL [sun2015return]85.2NoReturn of Frustratingly Easy Domain Adaptation2015-11-17Code