Enhancing a You Only Look Once-Plated Detector via Auxiliary Textual Coding for Multi-Scale Rotating Remote Sensing Objects in Transportation Monitoring Applications

Enhancing a You Only Look Once-Plated Detector via Auxiliary Textual Coding for Multi-Scale Rotating Remote Sensing Objects in Transportation Monitoring Applications

With the rapid development of intelligent information technologies, remote sensing object detection has played an important role in different field applications. Particularly in recent years, it has attracted widespread attention in assisting with food safety supervision, which still faces troubling...

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Bibliographic Details
Main Authors: Sarentuya Bao, Mingwang Zhang, Rui Xie, Dabhvrbayar Huang, Jianlei Kong
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
agricultural environmental supervision
remote sensing imaging detection
rotated annotation analysis
deep learning technology
convolutional block attention
Online Access:https://www.mdpi.com/2076-3417/14/19/9074

Internet

https://www.mdpi.com/2076-3417/14/19/9074

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