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Explaining Object Detectors: The Case of Transformer Architectures

Object detection is a complex visual function that has applications in many safety-critical domains such as autonomous driving or …

Baptiste Abeloos, Stéphane Herbin

Leveraging Generative Models to Characterize the Failure Conditions of Image Classifiers

We address in this work the question of identifying the failure conditions of a given image classifier. To do so, we exploit the …

Adrien Le Coz, Stéphane Herbin, Faouzi Adjed

Pseudo-Labeling for Class Incremental Learning

Class Incremental Learning (CIL) consists in training a model iteratively with limited amount of data from few classes that will never …

Alexis Lechat, Stéphane Herbin, Frédéric Jurie

Semi-Supervised Class Incremental Learning

This paper makes a contribution to the problem of incremental class learning, the principle of which is to sequentially introduce …

Alexis Lechat, Stéphane Herbin, Frédéric Jurie

Adaptation Du Problème de Questions-Réponses Visuelles à Un Contexte d'apprentissage Continu

Le problème de questions-réponses visuelles (QRV) constitue un nouveau défi en intelligence artificielle. Il requiert du système des …

Alexis Lechat, Stéphane Herbin, Frédéric Jurie

Semantic Bottleneck for Computer Vision Tasks

This paper introduces a novel method for the representation of images that is semantic by nature, addressing the question of …

Maxime Bucher, Stéphane Herbin, Frédéric Jurie

Zero-Shot Classification by Generating Artificial Visual Features

Maxime Bucher, Stéphane Herbin, Frédéric Jurie

Generating Visual Representations for Zero-Shot Classification

This paper addresses the task of learning an image classifier when some categories are defined by semantic descriptions only (e.g. …

Maxime Bucher, Stéphane Herbin, Frédéric Jurie

Practical Scheduling of Computer Vision Functions

Adrien Chan-Hon-Tong, Stéphane Herbin

Hard Negative Mining for Metric Learning Based Zero-Shot Classification

Zero-Shot learning has been shown to be an efficient strategy for domain adaptation. In this context, this paper builds on the recent …

Maxime Bucher, Stéphane Herbin, Frédéric Jurie