VoluMon: Weakly-Supervised Volumetric Monocular Estimation with Ellipsoid Representations
Katherine Liu,Kyel Ok,Nicholas Roy,Katherine Liu,Kyel Ok,Nicholas Roy
Deep learning approaches to estimating 3D object pose and geometry present an attractive alternative to online estimation techniques, which can suffer from significant estimation latency. However, a practical hurdle to training state-of-the-art deep 3D bounding box estimators is collecting a sufficiently large dataset of 3D bounding box labels. In this work, we present a novel framework for weakly...
