DFA-MCD

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

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

Methodology4 results

Domain AdaptationonSYNSIG-to-GTSRB
Accuracy· 2020-06-23
97.5
SOTA
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment arXiv:2006.12770
Domain AdaptationonMNIST-to-USPS
Accuracy· 2020-06-23
98.6
best: 98.8 (FACT)
SOTA
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment arXiv:2006.12770
Domain AdaptationonUSPS-to-MNIST
Accuracy· 2020-06-23
96.6
best: 98.75 (FAMCD)
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment arXiv:2006.12770
Domain AdaptationonSVHN-to-MNIST
Accuracy· 2020-06-23
98.9
best: 99.18 (Mean teacher)
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment arXiv:2006.12770