An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images

Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty

Open source

DOI
10.1016/j.cviu.2019.102863
Published
2020-02
Container
Computer Vision and Image Understanding
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.cviu.2019.102863,
  title = {An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images},
  author = {Bharath Bhushan Damodaran and Rémi Flamary and Vivien Seguy and Nicolas Courty},
  year = {2020},
  journal = {Computer Vision and Image Understanding},
  doi = {10.1016/j.cviu.2019.102863},
  url = {https://doi.org/10.1016/j.cviu.2019.102863}
}

RIS

TY  - JOUR
TI  - An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images
AU  - Bharath Bhushan Damodaran
AU  - Rémi Flamary
AU  - Vivien Seguy
AU  - Nicolas Courty
PY  - 2020
JO  - Computer Vision and Image Understanding
DO  - 10.1016/j.cviu.2019.102863
UR  - https://doi.org/10.1016/j.cviu.2019.102863
ER  -

APA

Damodaran, B. B., Flamary, R., Seguy, V., & Courty, N. (2020). An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Computer Vision and Image Understanding. https://doi.org/10.1016/j.cviu.2019.102863

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