3CATN

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

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

Methodology3 results

Domain AdaptationonUSPS-to-MNIST
Accuracy· 2019-09-17
98.3
best: 98.75 (FAMCD)
SOTA
Cycle-consistent Conditional Adversarial Transfer Networks arXiv:1909.07618
Domain AdaptationonSVNH-to-MNIST
Accuracy· 2019-09-17
92.5
best: 98.91 (SRDA (RAN))
Cycle-consistent Conditional Adversarial Transfer Networks arXiv:1909.07618
Domain AdaptationonMNIST-to-USPS
Accuracy· 2019-09-17
96.1
best: 98.8 (FACT)
Cycle-consistent Conditional Adversarial Transfer Networks arXiv:1909.07618