Image segmentation is one of those deceptively simple tasks that quietly underpins much of modern computer vision. Before a self-driving car can recognize a pedestrian, before a radiologist’s AI a ...

Few-shot semantic segmentation has long been one of the most stubborn problems in computer vision: how can a machine learn to outline an object it has essentially never seen before, guided by nothing ...

Deep learning is the state-of-the-art approach for bioimage segmentation. However, it presents a paradox regarding image resolution: counterintuitively, deep learning segmentation performance can ...

Semantic segmentation assigns a semantic label to every pixel in an image, enabling detailed scene understanding that supports tasks such as autonomous navigation, medical diagnosis and environmental ...