PointPDF V2: A Unified Framework for Continual Open-World 3D Semantic Segmentation.

Xu J, Li X, Hao Y, Hu L

DOI: 10.1109/tpami.2026.3728472
Published: 2026 Aug 28
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3728472,
  title = {PointPDF V2: A Unified Framework for Continual Open-World 3D Semantic Segmentation.},
  author = {Xu J and Li X and Hao Y and Hu L},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3728472},
  url = {https://doi.org/10.1109/tpami.2026.3728472}
}

RIS

TY  - JOUR
TI  - PointPDF V2: A Unified Framework for Continual Open-World 3D Semantic Segmentation.
AU  - Xu J
AU  - Li X
AU  - Hao Y
AU  - Hu L
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3728472
UR  - https://doi.org/10.1109/tpami.2026.3728472
ER  -

APA

J, X., X, L., Y, H., & L, H. (2026). PointPDF V2: A Unified Framework for Continual Open-World 3D Semantic Segmentation.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3728472

Source records

pubmed · retrieved 2026-09-25T04:12:13.865Z