4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2022
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel, Ngoc-Son Vu, Jean Beaudet +1
Deep anomaly detection (AD) aims to provide robust and efficient classifiers for one-class and unbalanced settings. However current AD models still struggle on edge-case normal sam…
cs.CV2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel, Ngoc-Son Vu, Jean Beaudet +1
Anomaly detection is important in many real-life applications. Recently, self-supervised learning has greatly helped deep anomaly detection by recognizing several geometric transfo…
cs.CV2021★ 4 cited
Fine-grained Anomaly Detection via Multi-task Self-Supervision
Loic Jezequel, Ngoc-Son Vu, Jean Beaudet +1
Detecting anomalies using deep learning has become a major challenge over the last years, and is becoming increasingly promising in several fields. The introduction of self-supervi…