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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Bibliographic Details
Main Authors: Kaiqi Lang, Jie Cui, Mingyu Yang, Hanyu Wang, Zilong Wang, Honghai Shen
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
object detection
remote sensing
Transformer
CNNs
contextual information
Online Access:https://www.mdpi.com/2072-4292/16/5/906

Internet

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

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