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Target-driven One-Shot Unsupervised Domain Adaptation
Unlike existing methods, our augmentation module allows for strong transformations of the source samples, and the style of the single target sample available is exploited to guide the augmentation by ensuring perceptual similarity.
One-shot Unsupervised Domain Adaptation
Unsupervised Domain Adaptation
