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Label-efficient self-supervised learning: a case study on satellite imagery
Label-efficient self-supervised learning: a case study on satellite imagery
Industrial application of a research project: How to solve vehicle detection from fewer labeled data?
Thomas
Jun 29
Making the most out of dataset visualization in an industrial context
Making the most out of dataset visualization in an industrial context
How visualizing the feature space sheds light on the impact of self-supervised pre-training
Marie-Caroline Corbineau
Jun 20, 2022
How to use GIS for Machine Learning
How to use GIS for Machine Learning
In our 2 previous amazing articles :
Thomas Sitbon
Jun 20, 2022
Applying Neural Architecture Search (NAS) to a real use case — our key learnings
Applying Neural Architecture Search (NAS) to a real use case — our key learnings
How we applied an active research topic to an industrial use case and what we learned from it.
Kévin S.
Nov 3, 2021
How we built an AI Factory — Parts 2&3
How we built an AI Factory — Parts 2&3
How we industrialized deep learning algorithms to production by building a unique agile framework. This story explain how we create super…
Marie-Fleur Sacreste
Oct 6, 2021
How we built an AI factory — Part 1
How we built an AI factory — Part 1
How we industrialized deep learning algorithms to production by building a unique agile framework. This first article focus on how we…
Marie-Fleur Sacreste
Aug 31, 2021
The best of remote sensing in 2019
The best of remote sensing in 2019
A very biased summary of the 2019 IGARSS conference
Tugdual Ceillier
Jan 29, 2020
Visit our website to discover what we do.
www.preligens.com
#AIpower Episode 1: Myths & Realities of AI
#AIpower Episode 1: Myths & Realities of AI
Sometimes belittled, too often misunderstood, Artificial Intelligence is a holdall in the eyes of the public, and a lot of concepts fit…
Ségolène Husson
Feb 12, 2019
Super-resolution for satellite imagery analysis
Super-resolution for satellite imagery analysis
How image analysts and object detection algorithms can benefit from the latests advances in single-image super-resolution.
Thierry Golder
Oct 10, 2019
Why deep neural networks are not black boxes
Why deep neural networks are not black boxes
And why you can use it for critical applications
Renaud ALLIOUX
Jul 23, 2019
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