3 papers
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…
cs.CV2024
Paradigm for YOLO-based Infrared Small Target Detection
Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre +2
Detecting small to tiny targets in infrared images is a challenging task in computer vision, especially when it comes to differentiating these targets from noisy or textured backgr…