2 code implementations • 12 Apr 2024 • Guillaume Astruc, Nicolas Gonthier, Clement Mallet, Loic Landrieu
To demonstrate the advantages of combining modalities of different natures, we augment two existing datasets with new modalities.
no code implementations • 29 Mar 2024 • Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loic Landrieu
Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains.
1 code implementation • 20 Oct 2023 • Anatol Garioud, Nicolas Gonthier, Loic Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos
We introduce the French Land cover from Aerospace ImageRy (FLAIR), an extensive dataset from the French National Institute of Geographical and Forest Information (IGN) that provides a unique and rich resource for large-scale geospatial analysis.
no code implementations • 16 Apr 2023 • Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet
This approach is the first to use geographical metadata for UDA in semantic segmentation.
1 code implementation • 3 Feb 2023 • Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry
Second, we show the potential of our method for new applications, more specifically in the field of paleography, which studies the history and variations of handwriting, and for cipher analysis.
no code implementations • 5 Nov 2020 • Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
Transfer learning from huge natural image datasets, fine-tuning of deep neural networks and the use of the corresponding pre-trained networks have become de facto the core of art analysis applications.
2 code implementations • 4 Aug 2020 • Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
Experiments show the interest of the multi-scale scheme for high resolution textures and the interest of combining it with additional constraints for regular textures.
2 code implementations • 3 Aug 2020 • Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
Weakly supervised object detection (WSOD) using only image-level annotations has attracted a growing attention over the past few years.
Ranked #1 on Weakly Supervised Object Detection on CASPAPaintings
2 code implementations • ECCV 2018 Workshop Computer Vision for Art Analysis - VISART 2018 2018 • Nicolas Gonthier, Yann Gousseau, Said Ladjal, Olivier Bonfait
We propose a method for the weakly supervised detection of objects in paintings.
Ranked #2 on Weakly Supervised Object Detection on PeopleArt