Hybrid Network Model: TransConvNet for Oriented Object Detection in Remote Sensing Images

The complexity of backgrounds, the diversity of object scale and orientation, and the defects of convolutional neural network (CNN) have always been the challenges of oriented object detection in remote sensing images (RSIs). This paper designs a hybrid network model to meet these challenges and fur...

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Detalhes bibliográficos
Main Authors: Xulun Liu, Shiping Ma, Linyuan He, Chen Wang, Zhe Chen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Remote Sensing
Assuntos:
oriented object detection
remote sensing images
self-attention
transformer
feature fusion
Acesso em linha:https://www.mdpi.com/2072-4292/14/9/2090
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