Due to the domain discrepancy in visual domain adaptation, the performan...
Semi-supervised domain adaptation (SSDA) aims to solve tasks in target d...
In visual domain adaptation (DA), separating the domain-specific
charact...
In unsupervised domain adaptation, rich domain-specific characteristics ...
The learning of the deep networks largely relies on the data with
human-...
We address the unsupervised open domain recognition (UODR) problem, wher...