Abstract: Weakly-supervised learning methods have become increasingly attractive for medical image segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of ...
Announcements draw attention. The real work begins when that technology has to run every hour of every day: in real stores, under flickering lights, with camera angles that shift and networks that ...
Abstract: Object measurement in images is crucial in computer vision, with applications in industrial automation, quality control, and medical imaging. Traditional manual methods are inefficient and ...