1

Smoothing Continual Segmentation Oscillations with Latent Domain PPCA Decoder
We study Domain Incremental Learning for the semantic segmentation of Earth Observation images. We demonstrate that controlling the …
Marie-Ange Boum, Pierre Fournier, Dawa Derksen, Stéphane Herbin
Cite
Bridging the Modality Gap: Training-free Adaptation of Vision-Language Models for Remote Sensing via Visual Prototypes
Clément Barbier, Baptiste Abeloos, Stéphane Herbin
Cite
Interpretable Image Classification through an Argumentative Dialog between Encoders
We address the problem of designing interpretable algorithms for image classification. Modern computer vision algorithms implement …
Dao Thauvin, Stéphane Herbin, Wassila Ouerdane, Céline Hudelot
Cite
Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting
Continual learning in dynamic environments is a challenge for large-scale machine learning models. This research addresses Domain …
Marie-Ange Boum, Stéphane Herbin, Pierre Fournier, Pierre Lassalle
Cite DOI
How to Efficiently Adapt Foundation Models to Remote Sensing for Object Detection?
Vision-Language Models (VLMs) trained on millions of images excel at generalization in various domains. However, a significant …
Clément Barbier, Baptiste Abeloos, Stéphane Herbin
Cite DOI
Optimal Transport Based Adversarial Patch to Leverage Large Scale Attack Transferability
Adversarial patch attacks, where a small patch is placed in the scene to fool neural networks, have been studied for numerous …
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi
Cite URL
Thinking the Certification Process of Embedded ML-based Aeronautical Components Using AIDGE, a French Open and Sovereign AI Platform
AIDGE is a novel software development platform for embedded Artificial Intelligence (AI). It is designed to import or even learn Deep …
Filipo Studzinski Perotto, Anthony Fernandes Pires, Jean-Loup Farges, Youcef Bouchebaba, Mohammed Belcaid, Eric Bonnafous, Claire Pagetti, Frédéric Boniol, Xavier Pucel, Adrien Chan-Hon-Tong, Stéphane Herbin, Mario Cassaro, Sofiane Kraiem
Cite
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
Adrien Le Coz, Houssem Ouertatani, Stéphane Herbin, Faouzi Adjed
Cite
Trusting Machine-Learning Applications in Aeronautics
A general recommendation from the French office for aeronautical and space standardization (BNAE) is being drawn up by experts from …
Karim Benmeziane, Patrick Fabiani, Stéphane Herbin, Jérôme Lacaille, Emmanuel Ledinot
Cite DOI URL
Explaining an Image Classifier with a Generative Model Conditioned by Uncertainty
We propose to condition a generative model by a given image classifier uncertainty in order to analyze and explain its behavior. …
Adrien Le Coz, Stéphane Herbin, Faouzi Adjed
Cite URL