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

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

ABSTRACTIn naval and civilian domains, meticulous ship classification and detection are paramount. Nevertheless, predominant research has gravitated toward leveraging Convolutional Neural Network (CNN)-centered methodologies, often overlooking the diverse granularity inherent in ship samples. In our...

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Bibliographic Details
Main Authors: Fengxiang Wang, Deying Yu, Liang Huang, Yalun Zhang, Yongbing Chen, Zhiguo Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-04-01
Series:Geo-spatial Information Science
Subjects:
Deep learning
image classification
ship detection
remote-sensing images
transformer
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2331552

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2024.2331552

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