2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
CVPR 2019poster
In this work, we connect two distinct concepts for unsupervised domain adaptation: feature distribution alignment between domains by utilizing the task-specific decision boundary and the Wasserstein metric. Our proposed sliced Wasserstein discrepancy (SWD) is designed to capture the natural notion o…