29 citations · 29 across the 1 of their papers we have counts for
2 papers
cs.CV2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann, Martin Bokeloh, Alireza Fathi +2
We present 3D-MPA, a method for instance segmentation on 3D point clouds. Given an input point cloud, we propose an object-centric approach where each point votes for its object ce…
cs.CV2019★ 29 cited
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection
Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel +2
Deep learning methods typically require vast amounts of training data to reach their full potential. While some publicly available datasets exists, domain specific data always need…