Learning Factorized Representations for Open-set Domain Adaptation

ICLR 2019 Mahsa BaktashmotlaghMasoud FarakiTom DrummondMathieu Salzmann

Domain adaptation for visual recognition has undergone great progress in the past few years. Nevertheless, most existing methods work in the so-called closed-set scenario, assuming that the classes depicted by the target images are exactly the same as those of the source domain... (read more)

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