Semi-Supervised Semantic Segmentation in Earth Observation: The
MiniFrance Suite, Dataset Analysis and Multi-task Network Study

Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study

15 October 2020

J. Castillo-Navarro

Bertrand Le Saux

Alexandre Boulch

Nicolas Audebert

Sébastien Lefèvre

Papers citing "Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study"

4 / 4 papers shown

Title
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach Pierre Adorni M. Pham Stéphane May Sébastien Lefèvre 51 0 0 06 May 2025
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 32 10 0 08 Dec 2023
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels Artur Miroszewski Jakub Mielczarek Filip Szczepanek G. Czelusta B. Grabowski Bertrand Le Saux J. Nalepa 14 3 0 14 Jul 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015