1 code implementation • 21 Nov 2022 • Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
In this work, we propose a novel approach which combines guided anisotropic diffusion with a deep convolutional network and advances the state of the art for guided depth super-resolution.
no code implementations • 13 Jun 2022 • Nikolai Kalischek, Nico Lang, Cécile Renier, Rodrigo Caye Daudt, Thomas Addoah, William Thompson, Wilma J. Blaser-Hart, Rachael Garrett, Konrad Schindler, Jan D. Wegner
C\^ote d'Ivoire and Ghana, the world's largest producers of cocoa, account for two thirds of the global cocoa production.
1 code implementation • 3 Jun 2022 • Andrés C. Rodríguez, Stefano D'Aronco, Rodrigo Caye Daudt, Jan D. Wegner, Konrad Schindler
The illustrations contained in field guides deliberately focus on discriminative properties of a species, and can serve as side information to transfer knowledge from seen to unseen classes.
1 code implementation • 31 May 2022 • Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
We show that the idea can be extended to uncertainty quantification: by modulating the network activations of a single deep network with FiLM, one obtains a model ensemble with high diversity, and consequently well-calibrated estimates of epistemic uncertainty, with low computational overhead in comparison.
no code implementations • 31 Dec 2021 • Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Large scale datasets created from crowdsourced labels or openly available data have become crucial to provide training data for large scale learning algorithms.
no code implementations • 17 Apr 2019 • Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Large scale datasets created from user labels or openly available data have become crucial to provide training data for large scale learning algorithms.
no code implementations • 19 Oct 2018 • Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
In this paper we present the first large scale high resolution semantic change detection (HRSCD) dataset, which enables the usage of deep learning methods for semantic change detection.
3 code implementations • 19 Oct 2018 • Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images.
Ranked #1 on
Change Detection
on OSCD - 13ch
1 code implementation • 19 Oct 2018 • Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
The Copernicus Sentinel-2 program now provides multispectral images at a global scale with a high revisit rate.