1 citations · 1 across the 3 of their papers we have counts for
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On the detection of Out-Of-Distribution samples in Multiple Instance Learning
Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis +2
The deployment of machine learning solutions in real-world scenarios often involves addressing the challenge of out-of-distribution (OOD) detection. While significant efforts have…
Binary Multi Channel Morphological Neural Network
Theodore Aouad, Hugues Talbot
Neural networks and particularly Deep learning have been comparatively little studied from the theoretical point of view. Conversely, Mathematical Morphology is a discipline with s…
Binary Morphological Neural Network
Theodore Aouad, Hugues Talbot
In the last ten years, Convolutional Neural Networks (CNNs) have formed the basis of deep-learning architectures for most computer vision tasks. However, they are not necessarily o…
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
Charles A. Kantor, Marta Skreta, Brice Rauby +5
Fine-grained classification aims at distinguishing between items with similar global perception and patterns, but that differ by minute details. Our primary challenges come from bo…
Atlas-based automated detection of swim bladder in Medaka embryo
Diane Genest, Marc Léonard, Jean Cousty +2
Fish embryo models are increasingly being used both for the assessment of chemicals efficacy and potential toxicity. This article proposes a methodology to automatically detect the…
Spatially variant PSF modeling in confocal macroscopy
Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet +1
Point spread function (PSF) plays an essential role in image reconstruction. In the context of confocal microscopy, optical performance degrades towards the edge of the field of vi…