Corpus ID: 236318153

Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds

@article{Wei2021DenseSP,
  title={Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds},
  author={Jiacheng Wei and Guosheng Lin and Kim-Hui Yap and Fayao Liu and Tzu-Yi Hung},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.11267}
}
  • Jiacheng Wei, Guosheng Lin, +2 authors Tzu-Yi Hung
  • Published 2021
  • Computer Science
  • ArXiv
Semantic segmentation on 3D point clouds is an important task for 3D scene understanding. While dense labeling on 3D data is expensive and time-consuming, only a few works address weakly supervised semantic point cloud segmentation methods to relieve the labeling cost by learning from simpler and cheaper labels. Meanwhile, there are still huge performance gaps between existing weakly supervised methods and state-of-the-art fully supervised methods. In this paper, we train a semantic point cloud… Expand

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References

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