MMD [tzeng2015ddc]; [long2015learning]

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

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

Methodology4 results

Domain AdaptationonMNIST-to-MNIST-M
Accuracy· 2015-02-10
76.9
best: 98.7 (DRANet)
SOTA
Learning Transferable Features with Deep Adaptation Networks arXiv:1502.02791
Domain AdaptationonSynth Digits-to-SVHN
Accuracy· 2015-02-10
88
best: 91.2 (DSN (DANN))
SOTA
Learning Transferable Features with Deep Adaptation Networks arXiv:1502.02791
Domain AdaptationonSynth Signs-to-GTSRB
Accuracy· 2015-02-10
91.1
best: 98.66 (Mean teacher)
SOTA
Learning Transferable Features with Deep Adaptation Networks arXiv:1502.02791
Domain AdaptationonSVNH-to-MNIST
Accuracy· 2015-02-10
71.1
best: 98.91 (SRDA (RAN))
SOTA
Learning Transferable Features with Deep Adaptation Networks arXiv:1502.02791