Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation

Clément Dechesne, Pierre Lassalle, Sébastien Lefèvre. Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021. pages 2536-2539, IEEE, 2021. [doi]

@inproceedings{DechesneLL21,
  title = {Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation},
  author = {Clément Dechesne and Pierre Lassalle and Sébastien Lefèvre},
  year = {2021},
  doi = {10.1109/IGARSS47720.2021.9555043},
  url = {https://doi.org/10.1109/IGARSS47720.2021.9555043},
  researchr = {https://researchr.org/publication/DechesneLL21},
  cites = {0},
  citedby = {0},
  pages = {2536-2539},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-0369-6},
}