Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks

CVPR 2019 Ziliang ChenJingyu ZhuangXiaodan LiangLiang Lin

(Unsupervised) Domain Adaptation (DA) seeks for classifying target instances when solely provided with source labeled and target unlabeled examples for training. Learning domain-invariant features helps to achieve this goal, whereas it underpins unlabeled samples drawn from a single or multiple explicit target domains (Multi-target DA)... (read more)

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