RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation. (arXiv:2208.05110v2 [cs.CV] UPDATED)

Instance segmentation on 3D point clouds has been attracting increasing
attention due to its wide applications, especially in scene understanding
areas. However, most existing methods require training data to be fully
annotated. Manually preparing ground-truth labels at point-level is very
cumbersome and labor-intensive. To address this issue, we propose a novel
weakly supervised method RWSeg that only requires labeling one object with one
point. With these sparse weak labels, we introduce a unified framework with two
branches to propagate semantic …

3d arxiv cv graph random segmentation