Deep vanishing point detection: Geometric priors make dataset variations vanish

Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert. Deep vanishing point detection: Geometric priors make dataset variations vanish. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 6093-6103, IEEE, 2022. [doi]

@inproceedings{LinWPHEG22,
  title = {Deep vanishing point detection: Geometric priors make dataset variations vanish},
  author = {Yancong Lin and Ruben Wiersma and Silvia L. Pintea and Klaus Hildebrandt and Elmar Eisemann and Jan C. van Gemert},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.00601},
  url = {https://doi.org/10.1109/CVPR52688.2022.00601},
  researchr = {https://researchr.org/publication/LinWPHEG22},
  cites = {0},
  citedby = {0},
  pages = {6093-6103},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}