34 citations · 153 across the 25 of their papers we have counts for
8 papers · 1 filter
Self-Configuring nnU-Nets Detect Clouds in Satellite Images
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok +3
Cloud detection is a pivotal satellite image pre-processing step that can be performed both on the ground and on board a satellite to tag useful images. In the latter case, it can…
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé +2
Hyperspectral unmixing remains one of the most challenging tasks in the analysis of such data. Deep learning has been blooming in the field and proved to outperform other classic u…
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé +2
Maintaining farm sustainability through optimizing the agricultural management practices helps build more planet-friendly environment. The emerging satellite missions can acquire m…
Rapid training of quantum recurrent neural networks
Michał Siemaszko, Adam Buraczewski, Bertrand Le Saux +1
Time series prediction is essential for human activities in diverse areas. A common approach to this task is to harness Recurrent Neural Networks (RNNs). However, while their predi…
Self-supervised learning -- A way to minimize time and effort for precision agriculture?
Michael L. Marszalek, Bertrand Le Saux, Pierre-Philippe Mathieu +2
Machine learning, satellites or local sensors are key factors for a sustainable and resource-saving optimisation of agriculture and proved its values for the management of agricult…
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators
Bálint Máté, Bertrand Le Saux, Maxwell Henderson
This paper explores the advantages of optimizing quantum circuits on wires as operators in the unitary group . We run gradient-based optimization in the Lie algebra $\m…