Parameter-efficient prompt tuning based on adaptive fused pre-trained models for 3D scene understanding
- DOI
- 10.1016/j.neunet.2026.109662
- Published
- 2027-02
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109662,
title = {Parameter-efficient prompt tuning based on adaptive fused pre-trained models for 3D scene understanding},
author = {Xinyan Huang and Fang Liu and Licheng Jiao and Yaming Yang and Shuo Li and Puhua Chen and Lingling Li and Xu Liu and Wenping Ma},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109662},
url = {https://doi.org/10.1016/j.neunet.2026.109662}
}RIS
TY - JOUR TI - Parameter-efficient prompt tuning based on adaptive fused pre-trained models for 3D scene understanding AU - Xinyan Huang AU - Fang Liu AU - Licheng Jiao AU - Yaming Yang AU - Shuo Li AU - Puhua Chen AU - Lingling Li AU - Xu Liu AU - Wenping Ma PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109662 UR - https://doi.org/10.1016/j.neunet.2026.109662 ER -
APA
Huang, X., Liu, F., Jiao, L., Yang, Y., Li, S., Chen, P., Li, L., Liu, X., & Ma, W. (2027). Parameter-efficient prompt tuning based on adaptive fused pre-trained models for 3D scene understanding. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109662
Source records
- crossref · retrieved 2026-09-26T09:44:41.747Z