13 citations · 32 across the 12 of their papers we have counts for
5 papers · 1 filter
SSL-SLR: Self-Supervised Representation Learning for Sign Language Recognition
Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier +2
Sign language recognition (SLR) is a machine learning task aiming to identify signs in videos. Due to the scarcity of annotated data, unsupervised methods like contrastive learning…
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation
Robin Ghyselinck, Valentin Delchevalerie, Bruno Dumas +1
Numerous studies have recently focused on incorporating different variations of equivariance in Convolutional Neural Networks (CNNs). In particular, rotation-equivariance has gathe…
SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks
Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal +1
For many years, it has been shown how much exploiting equivariances can be beneficial when solving image analysis tasks. For example, the superiority of convolutional neural networ…
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui +1
In this study, a new Anomaly Detection (AD) approach for industrial and medical images is proposed. This method leverages the theoretical strengths of unsupervised learning and the…
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden +1
In recent years, the industrial sector has evolved towards its fourth revolution. The quality control domain is particularly interested in advanced machine learning for computer vi…