English

MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge

Computer Vision and Pattern Recognition 2019-10-10 v1

Abstract

We present a domain adaptation (DA) system that can be used in multi-source and semi-supervised settings. Using the proposed method we achieved 2nd place on multi-source track and 3rd place on semi-supervised track of the VisDA 2019 challenge (http://ai.bu.edu/visda-2019/). The source code of the method is available at https://github.com/filaPro/visda2019.

Keywords

Cite

@article{arxiv.1910.03903,
  title  = {MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge},
  author = {Danila Rukhovich and Danil Galeev},
  journal= {arXiv preprint arXiv:1910.03903},
  year   = {2019}
}

Comments

accepted at TASK-CV 2019 at ICCV