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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
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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
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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
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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
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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
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Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
Adrien Le Coz, Houssem Ouertatani, Stéphane Herbin, Faouzi Adjed
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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
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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
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Knowledge Informed Sequential Scene Graph Verification Using VQA
We propose a new task, non localized scene graph verification, whose objective is to provide a justified expression of inconsistencies …
Dao Thauvin, Stéphane Herbin
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Benchmarking and Deeper Analysis of Adversarial Patch Attack on Object Detectors
Adversarial attacks (either norm bounded or patch-based) have received much attention from the computer vision community over the last …
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi
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