BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation

Cite

Text

Kumar et al. "BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91672-4_19

Markdown

[Kumar et al. "BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/kumar2024eccvw-belhouse3d/) doi:10.1007/978-3-031-91672-4_19

BibTeX

@inproceedings{kumar2024eccvw-belhouse3d,
  title     = {{BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation}},
  author    = {Kumar, Umamaheswaran Raman and Fayjie, Abdur Razzaq and Hannaert, Jurgen and Vandewalle, Patrick},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2024},
  pages     = {308-327},
  doi       = {10.1007/978-3-031-91672-4_19},
  url       = {https://mlanthology.org/eccvw/2024/kumar2024eccvw-belhouse3d/}
}