Research on Multi-Type Rivet Head Defect Extraction and Classification Based on PointGhost Lightweight Network

Liang Liu, Wenxuan Zhou, Xianming Meng, Jianchao Gao, Xinhua Zhao, Ying Zhang

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DOI: 10.3390/s26113484
Published: 2026-06-01
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26113484,
  title = {Research on Multi-Type Rivet Head Defect Extraction and Classification Based on PointGhost Lightweight Network},
  author = {Liang Liu and Wenxuan Zhou and Xianming Meng and Jianchao Gao and Xinhua Zhao and Ying Zhang},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26113484},
  url = {https://doi.org/10.3390/s26113484}
}

RIS

TY  - JOUR
TI  - Research on Multi-Type Rivet Head Defect Extraction and Classification Based on PointGhost Lightweight Network
AU  - Liang Liu
AU  - Wenxuan Zhou
AU  - Xianming Meng
AU  - Jianchao Gao
AU  - Xinhua Zhao
AU  - Ying Zhang
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26113484
UR  - https://doi.org/10.3390/s26113484
ER  -

APA

Liu, L., Zhou, W., Meng, X., Gao, J., Zhao, X., & Zhang, Y. (2026). Research on Multi-Type Rivet Head Defect Extraction and Classification Based on PointGhost Lightweight Network. Sensors. https://doi.org/10.3390/s26113484

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crossref · retrieved 2026-09-27T13:09:28.371Z