A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data

Xingye Li, Zhigang Zhu. A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data. In Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch, editors, Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021. pages 399-408, SCITEPRESS, 2021. [doi]

@inproceedings{LiZ21-14,
  title = {A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data},
  author = {Xingye Li and Zhigang Zhu},
  year = {2021},
  doi = {10.5220/0010230103990408},
  url = {https://doi.org/10.5220/0010230103990408},
  researchr = {https://researchr.org/publication/LiZ21-14},
  cites = {0},
  citedby = {0},
  pages = {399-408},
  booktitle = {Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021},
  editor = {Giovanni Maria Farinella and Petia Radeva and José Braz and Kadi Bouatouch},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-488-6},
}