DUNE: Deep UNcertainty Estimation for tracked visual features

Katia Sousa Lillo, Andrea De Maio, Simon Lacroix, Amaury Nègre, Michèle Rombaut, Nicolas Marchand, Nicolas Vercier. DUNE: Deep UNcertainty Estimation for tracked visual features. In 5th IEEE International Conference on Image Processing Applications and Systems, IPAS 2022, Genova, Italy, December 5-7, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{LilloMLNRMV22,
  title = {DUNE: Deep UNcertainty Estimation for tracked visual features},
  author = {Katia Sousa Lillo and Andrea De Maio and Simon Lacroix and Amaury Nègre and Michèle Rombaut and Nicolas Marchand and Nicolas Vercier},
  year = {2022},
  doi = {10.1109/IPAS55744.2022.10052984},
  url = {https://doi.org/10.1109/IPAS55744.2022.10052984},
  researchr = {https://researchr.org/publication/LilloMLNRMV22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {5th IEEE International Conference on Image Processing Applications and Systems, IPAS 2022, Genova, Italy, December 5-7, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6219-8},
}