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A Bayesian-inspired, deep learning-based, semi-supervised domain
  adaptation technique for land cover mapping
v1v2 (latest)

A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping

25 May 2020
Benjamin Lucas
Charlotte Pelletier
Daniel F. Schmidt
Geoffrey I. Webb
Franccois Petitjean
    BDL
ArXiv (abs)PDFHTML

Papers citing "A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping"

3 / 3 papers shown
Title
Self-supervised learning -- A way to minimize time and effort for
  precision agriculture?
Self-supervised learning -- A way to minimize time and effort for precision agriculture?
Michael Marszalek
Bertrand Le Saux
P. Mathieu
A. Nowakowski
Daniel Springer
43
7
0
05 Apr 2022
Weakly-supervised continual learning for class-incremental segmentation
Weakly-supervised continual learning for class-incremental segmentation
Gaston Lenczner
Adrien Chan-Hon-Tong
Nicola Luminari
Bertrand Le Saux
CLL
49
4
0
04 Jan 2022
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
303
4,687
0
17 Feb 2017
1