Recent advancements in dense out-of-distribution (OOD) detection have
pr...
Despite deep learning has achieved great success, it often relies on a l...
Equipping predicted segmentation with calibrated uncertainty is essentia...
We tackle the novel class discovery problem, aiming to discover novel cl...
Learning segmentation from noisy labels is an important task for medical...