activity
20162023
most citedSemi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study

72 citations · 287 across the 33 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels

Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek +4

Support vector machines (SVMs) are a well-established classifier effectively deployed in an array of pattern recognition and classification tasks. In this work, we consider extendi…

cs.CV2023

Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images

Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek +4

The optimization of Kernel-Target Alignment (TA) has been recently proposed as a way to reduce the number of hardware resources in quantum classifiers. It allows to exchange highly…

cs.CV2023★ 1 cited

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection

Bartosz Grabowski, Maciej Ziaja, Michal Kawulok +4

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…

cs.LG2023★ 3 cited

A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification

Amer Delilbasic, Bertrand Le Saux, Morris Riedel +2

In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in q…

physics.soc-ph2023

Analysis of COVID-19 first wave in the US based on demographic, mobility, and environmental variables

Dario Spiller, Gabriele Santin, Alessandro Sebastianelli +6

COVID-19 had a strong and disruptive impact on our society, and yet further analyses on most relevant factors explaining the spread of the pandemic are needed. Interdisciplinary st…

cs.CV2023

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines

Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta +4

Support vector machines (SVMs) are a well-established classifier effectively deployed in an array of classification tasks. In this work, we consider extending classical SVMs with q…