Image to Image Translation for Domain Adaptation

@article{Murez2018ImageTI,
  title={Image to Image Translation for Domain Adaptation},
  author={Zak Murez and Soheil Kolouri and D. Kriegman and R. Ramamoorthi and K. Kim},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={4500-4509}
}
  • Zak Murez, Soheil Kolouri, +2 authors K. Kim
  • Published 2018
  • Computer Science
  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without requiring any training annotations in the target domain. [...] Key Method Specifically, we require that the features extracted are able to reconstruct the images in both domains. In addition we require that the distribution of features extracted from images in the two domains are indistinguishable.Expand Abstract
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