Optimizing surface defect detection with YOLOv9: the role of advanced backbone models

Zhonglin Zeng, Hongyang Wang, Chi Yao, Zile Dong, Shimin Cai

Open source

DOI
10.3389/frai.2025.1675154
Published
2025-10-10
Container
Frontiers in Artificial Intelligence
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/frai.2025.1675154,
  title = {Optimizing surface defect detection with YOLOv9: the role of advanced backbone models},
  author = {Zhonglin Zeng and Hongyang Wang and Chi Yao and Zile Dong and Shimin Cai},
  year = {2025},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2025.1675154},
  url = {https://doi.org/10.3389/frai.2025.1675154}
}

RIS

TY  - JOUR
TI  - Optimizing surface defect detection with YOLOv9: the role of advanced backbone models
AU  - Zhonglin Zeng
AU  - Hongyang Wang
AU  - Chi Yao
AU  - Zile Dong
AU  - Shimin Cai
PY  - 2025
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2025.1675154
UR  - https://doi.org/10.3389/frai.2025.1675154
ER  - 

APA

Zeng, Z., Wang, H., Yao, C., Dong, Z., & Cai, S. (2025). Optimizing surface defect detection with YOLOv9: the role of advanced backbone models. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2025.1675154

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