Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation

Jimmy Francky Randrianasoa, Camille Kurtz, Pierre Gançarski, Eric Desjardin, Nicolas Passat. Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation. In 2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017. pages 3874-3878, IEEE, 2017. [doi]

@inproceedings{RandrianasoaKGD17,
  title = {Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation},
  author = {Jimmy Francky Randrianasoa and Camille Kurtz and Pierre Gançarski and Eric Desjardin and Nicolas Passat},
  year = {2017},
  doi = {10.1109/ICIP.2017.8297008},
  url = {https://doi.org/10.1109/ICIP.2017.8297008},
  researchr = {https://researchr.org/publication/RandrianasoaKGD17},
  cites = {0},
  citedby = {0},
  pages = {3874-3878},
  booktitle = {2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-2175-8},
}