Early 2021, I gave a series of talks on the topic of Beyond Labels: Weakly-supervised, Continual and Semi-supervised Learning for Earth Observation, in the following venues.

The material for these presentations in mostly based on the works of Javiera Castillo-Navarro, Rodrigo Caye Daudt, Gaston Lenczner and Veda Sunkara. Further information can be found in the following papers:

Multitask learning for large-scale semantic change detection R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau Computer Vision and Image Understanding (CVIU), vol. 187, Oct. 2019

[ doi / arxiv / pdf / HRSCD dataset ]

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR / EarthVision 19) Long Beach, Cal., USA, June 2019

[ Best Student Paper Award pdf#1 / pdf#2 / arxiv ]

DISIR: Deep image segmentation with interactive refinement G. Lenczner, B. Le Saux, N. Luminari, A. Chan-Hon-Tong, G. Le Besnerais, ISPRS Annals, Virtual / Nice, France, August 2020

[ local pdf / ISPRS ann. / ISPRS video / arxiv / DISIR code ]

Interactive Learning for Semantic Segmentation in Earth Observation G. Lenczner, B. Le Saux, N. Luminari, A. Chan-Hon-Tong, G. Le Besnerais, ECML/PKDD MACLEAN, Virtual / Ghent, Belgium, September 2020

[ Best Student Paper Award / local pdf / ext pdf / DISIR/DISCA video / DISCA code ]

Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation V. Sunkara, M. Purri, B. Le Saux, J. Adams, NeurIPS 2020 Workshop on Climate Change AI, virtual, December 2020

[ CCAI page with video / arxiv ]

On Auxiliary Losses for Semi-Supervised Semantic Segmentation J. Castillo-Navarro, B. Le Saux, A. Boulch, S. Lefèbre, ECML/PKDD MACLEAN, Virtual / Ghent, Belgium, September 2020

[ local pdf / ext pdf / video ]

Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study J. Castillo-Navarro, B. Le Saux, A. Boulch, N. Audebert, S. Lefèbre, Maching Learning, accepted, to appear.

[ editor version / local file / arxiv / MiniFrance dataset ]