← Search

Peer Schütt

1 accepted papers

2020

LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

RSS 2020poster

Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challenges due to the heavy memory requirements and the lack of structured data. Here, we propose LatticeNet, a novel approach…