A Multi-Feature Fusion and Attention Network for Multi-Scale Object Detection in Remote Sensing Images

A Multi-Feature Fusion and Attention Network for Multi-Scale Object Detection in Remote Sensing Images

Accurate multi-scale object detection in remote sensing images poses a challenge due to the complexity of transferring deep features to shallow features among multi-scale objects. Therefore, this study developed a multi-feature fusion and attention network (MFANet) based on YOLOX. By reparameterizin...

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Bibliographic Details
Main Authors: Yong Cheng, Wei Wang, Wenjie Zhang, Ling Yang, Jun Wang, Huan Ni, Tingzhao Guan, Jiaxin He, Yakang Gu, Ngoc Nguyen Tran
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
remote sensing images
multi-scale object detection
multi-feature fusion and attention network
multi-branch convolution
attention mechanism
loss function
Online Access:https://www.mdpi.com/2072-4292/15/8/2096

Internet

https://www.mdpi.com/2072-4292/15/8/2096

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