Tag self-supervised learning
Large collections of paintings and drawings hide a surprising number of repeated motifs: a particular cherub, a decorative border, a replicated figure, or even a reused fragment of a composition. Detecting these near-duplicate patterns automatically is valuable for art historians,… Continue Reading →
In the ever-evolving field of medical imagery, the potential for improvement never ceases to inspire innovation. One area that has seen considerable focus is image registration—an essential process that aligns two images to enable better analysis and interpretation. Recent research… Continue Reading →