Semantic Instance Segmentation of 3D Scenes Through Weak Bounding Box Supervision. (arXiv:2206.01203v1 [cs.CV])

Current 3D segmentation methods heavily rely on large-scale point-cloud
datasets, which are notoriously laborious to annotate. Few attempts have been
made to circumvent the need for dense per-point annotations. In this work, we
look at weakly-supervised 3D instance semantic segmentation. The key idea is to
leverage 3D bounding box labels which are easier and faster to annotate.
Indeed, we show that it is possible to train dense segmentation models using
only weak bounding box labels. At the core of our …

3d 3d scenes arxiv cv segmentation semantic