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)

PDF Abstract ICLR 2019 PDF ICLR 2019 Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet