Subspace-based Feature Alignment for Unsupervised Domain Adaptation
Eojindl Yi,Junmo Kim,Eojindl Yi,Junmo Kim
Autonomous agents need to perceive the world in a robust way, such that the shift in data distribution does not lead to faulty perception results. When agents cannot be trained with abundant data, agents may need to operate on real world environments while trained on simulated data, and suffer from domain shift. This paper proposes an effective and robust unsupervised domain adaptation (UDA) metho...
