Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection
Pietro Bonazzi, Rafael Sutter, Luigi Capogrosso +2
Anomaly detection plays a key role in industrial quality control, where defects must be identified despite the scarcity of labeled faulty samples. Recent self-supervised approaches…
cs.CV2024
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting
Jay Zoellin, Colin Merk, Mischa Buob +12
Integrating deep learning into medical imaging is poised to greatly advance diagnostic methods but it faces challenges with generalizability. Foundation models, based on self-super…