3 papers
cs.CV2025
Anomaly-Aware YOLO: A Frugal yet Robust Approach to Infrared Small Target Detection
Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre
Infrared Small Target Detection (IRSTD) is a challenging task in defense applications, where complex backgrounds and tiny target sizes often result in numerous false alarms using c…
cs.CV2024
Self-Supervised Learning for Real-World Object Detection: a Survey
Alina Ciocarlan, Sidonie Lefebvre, Sylvie Le Hégarat-Mascle +1
Self-Supervised Learning (SSL) has emerged as a promising approach in computer vision, enabling networks to learn meaningful representations from large unlabeled datasets. SSL meth…
cs.CV2024
Robust infrared small target detection using self-supervised and a contrario paradigms
Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre +1
Detecting small targets in infrared images poses significant challenges in defense applications due to the presence of complex backgrounds and the small size of the targets. Tradit…