HOFA-Net: A High-Order Feature Association Network for Dense Object Detection in Remote Sensing

In the remote sensing field, deep learning-based methods have become mainstream for remote sensing image object detection in recent years. However, traditional methods, such as convolutional neural networks (CNNs), mainly ignore the dependencies between features, failing to capture the spatial relat...

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Détails bibliographiques
Auteurs principaux: YunPeng Xu, Xin Wu, Li Wang, Lianming Xu, Zhengyu Shao, Aiguo Fei
Format: Article
Langue:English
Publié: IEEE 2024-01-01
Collection:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sujets:
Accès en ligne:https://ieeexplore.ieee.org/document/10330558/