ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation

Cite

Text

Kim et al. "ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91585-7_26

Markdown

[Kim et al. "ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/kim2024eccvw-proxydr/) doi:10.1007/978-3-031-91585-7_26

BibTeX

@inproceedings{kim2024eccvw-proxydr,
  title     = {{ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation}},
  author    = {Kim, Hyeongji and Choi, Changkyu and Kampffmeyer, Michael and Berge, Terje and Parviainen, Pekka and Malde, Ketil},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2024},
  pages     = {434-450},
  doi       = {10.1007/978-3-031-91585-7_26},
  url       = {https://mlanthology.org/eccvw/2024/kim2024eccvw-proxydr/}
}