PGNet: Progressive Feature Alignment and Gaussian Geometric‐Consistency Assignment for Ship Detection in Complex Maritime Environments
- DOI
- 10.1111/nyas.70428
- Published
- 2026-10
- Container
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1111/nyas.70428,
title = {PGNet: Progressive Feature Alignment and Gaussian Geometric‐Consistency Assignment for Ship Detection in Complex Maritime Environments},
author = {Ming Ye and Chun Li and Yunfeng Wan and Yuxin Yang and Qidong Song},
year = {2026},
journal = {Annals of the New York Academy of Sciences},
doi = {10.1111/nyas.70428},
url = {https://doi.org/10.1111/nyas.70428}
}RIS
TY - JOUR TI - PGNet: Progressive Feature Alignment and Gaussian Geometric‐Consistency Assignment for Ship Detection in Complex Maritime Environments AU - Ming Ye AU - Chun Li AU - Yunfeng Wan AU - Yuxin Yang AU - Qidong Song PY - 2026 JO - Annals of the New York Academy of Sciences DO - 10.1111/nyas.70428 UR - https://doi.org/10.1111/nyas.70428 ER -
APA
Ye, M., Li, C., Wan, Y., Yang, Y., & Song, Q. (2026). PGNet: Progressive Feature Alignment and Gaussian Geometric‐Consistency Assignment for Ship Detection in Complex Maritime Environments. Annals of the New York Academy of Sciences. https://doi.org/10.1111/nyas.70428
Source records
- crossref · retrieved 2026-11-10T06:50:47.594Z