Fine-Grained Ship Classification by Combining CNN and Swin Transformer

Fine-Grained Ship Classification by Combining CNN and Swin Transformer

The mainstream algorithms used for ship classification and detection can be improved based on convolutional neural networks (CNNs). By analyzing the characteristics of ship images, we found that the difficulty in ship image classification lies in distinguishing ships with similar hull structures but...

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Bibliographic Details
Main Authors: Liang Huang, Fengxiang Wang, Yalun Zhang, Qingxia Xu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
image classification
ship detection
remote sensing images
self-attention
transformer
CNN
Online Access:https://www.mdpi.com/2072-4292/14/13/3087

Internet

https://www.mdpi.com/2072-4292/14/13/3087

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