Efficient and lightweight long-range modeling for 3d point cloud classification and segmentation.

Liu D, Deng Y, Zou J, Fan S

DOI: 10.1371/journal.pone.0352793
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0352793,
  title = {Efficient and lightweight long-range modeling for 3d point cloud classification and segmentation.},
  author = {Liu D and Deng Y and Zou J and Fan S},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0352793},
  url = {https://doi.org/10.1371/journal.pone.0352793}
}

RIS

TY  - JOUR
TI  - Efficient and lightweight long-range modeling for 3d point cloud classification and segmentation.
AU  - Liu D
AU  - Deng Y
AU  - Zou J
AU  - Fan S
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0352793
UR  - https://doi.org/10.1371/journal.pone.0352793
ER  -

APA

D, L., Y, D., J, Z., & S, F. (2026). Efficient and lightweight long-range modeling for 3d point cloud classification and segmentation.. PloS one. https://doi.org/10.1371/journal.pone.0352793

Source records

pubmed · retrieved 2026-09-25T14:57:51.420Z