Domain-Symmetric Networks for Adversarial Domain Adaptation

CVPR 2019 Yabin ZhangHui TangKui JiaMingkui Tan

Unsupervised domain adaptation aims to learn a model of classifier for unlabeled samples on the target domain, given training data of labeled samples on the source domain. Impressive progress is made recently by learning invariant features via domain-adversarial training of deep networks... (read more)

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