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Fine-grained ship image classification and detection based on a vision transformer and multi-grain feature vector FPN model

Fengxiang Wang Deying Yu Liang Huang Yalun Zhang Yongbing Chen Zhiguo Wang

地球空间信息科学学报（英文版）2025，Vol.28Issue(3)：中插6,923-944,23.

地球空间信息科学学报（英文版）2025，Vol.28Issue(3)：中插6,923-944,23.DOI:10.1080/10095020.2024.2331552

Fine-grained ship image classification and detection based on a vision transformer and multi-grain feature vector FPN model

Fengxiang Wang ¹Deying Yu ²Liang Huang ³Yalun Zhang ⁴Yongbing Chen ²Zhiguo Wang⁵

作者信息

1. State Key Laboratory of High Performance Computing,National University of Defense Technology,Changsha,China
2. School of Electrical Engineering,Naval University of Engineering,Wuhan,China
3. College of Electronic Engineering,Naval University of Engineering,Wuhan,China
4. Combat Command Department,People's Liberation Army Naval Command College,Nanjing,China
5. Department of Operational Research and Planning,Naval University of Engineering,Wuhan,China
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摘要

关键词

Deep learning/image classification/ship detection/remote-sensing images/transformer

Key words

Deep learning/image classification/ship detection/remote-sensing images/transformer

引用本文复制引用

Fengxiang Wang,Deying Yu,Liang Huang,Yalun Zhang,Yongbing Chen,Zhiguo Wang..Fine-grained ship image classification and detection based on a vision transformer and multi-grain feature vector FPN model[J].地球空间信息科学学报（英文版）,2025,28(3):中插6,923-944,23.

基金项目

The work is supported by the National Natural Science Foundation of China[grant number 42074010]and the Independent Research Project of Naval Engineering University[grant number 2023509100]. （）

地球空间信息科学学报（英文版）

ISSN：1009-5020

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