A Convolution with Transformer Attention Module Integrating Local and Global Features for Object Detection in Remote Sensing Based on YOLOv8n

A Convolution with Transformer Attention Module Integrating Local and Global Features for Object Detection in Remote Sensing Based on YOLOv8n

Object detection in remote sensing scenarios plays an indispensable and significant role in civilian, commercial, and military areas, leveraging the power of convolutional neural networks (CNNs). Remote sensing images, captured by crafts and satellites, exhibit unique characteristics including compl...

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Detalhes bibliográficos
Main Authors: Kaiqi Lang, Jie Cui, Mingyu Yang, Hanyu Wang, Zilong Wang, Honghai Shen
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2024-03-01
Colecção:Remote Sensing
Assuntos:
object detection
remote sensing
Transformer
CNNs
contextual information
Acesso em linha:https://www.mdpi.com/2072-4292/16/5/906

Internet

https://www.mdpi.com/2072-4292/16/5/906

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