ML Anthology

Domain Generalization Using Shape Representation

Narges Honarvar Nazari, Adriana Kovashka
ECCVW 2020 pp. 666-670
doi:10.1007/978-3-030-66415-2_45 /eccvw/2020/nazari2020eccvw-domain/

Abstract

CNN-based representations have greatly advanced the state of the art in visual recognition, but the community has primarily focused on the setting where training and test set belong to the same dataset/distribution

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Text

Nazari and Kovashka. "Domain Generalization Using Shape Representation." European Conference on Computer Vision Workshops, 2020. doi:10.1007/978-3-030-66415-2_45

Markdown

[Nazari and Kovashka. "Domain Generalization Using Shape Representation." European Conference on Computer Vision Workshops, 2020.](https://mlanthology.org/eccvw/2020/nazari2020eccvw-domain/) doi:10.1007/978-3-030-66415-2_45

BibTeX

@inproceedings{nazari2020eccvw-domain,
  title     = {{Domain Generalization Using Shape Representation}},
  author    = {Nazari, Narges Honarvar and Kovashka, Adriana},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2020},
  pages     = {666-670},
  doi       = {10.1007/978-3-030-66415-2_45},
  url       = {https://mlanthology.org/eccvw/2020/nazari2020eccvw-domain/}
}