François Robinet

Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation

Identifying traversable space is one of the most important problems in autonomous robot navigation and is primarily tackled using learning-based methods. To alleviate the prohibitively high annotation-cost associated with labeling large and diverse datasets, research has recently shifted from tradit