Phil Osteen

Two Teachers Are Better Than One: Leveraging Depth In Training Only For Unsupervised Obstacle Segmentation

We present a novel unsupervised obstacle segmentation architecture that follows a novel Relation Distillation (RD) paradigm. Our architecture design was inspired by a self-supervised teacher-student approach that relies on the Semantic Distillation originally devised for representation learning. Whi…