TO–YOLOX: a pure CNN tiny object detection model for remote sensing images

TO–YOLOX: a pure CNN tiny object detection model for remote sensing images

Remote sensing and deep learning are being widely combined in tasks such as urban planning and disaster prevention. However, due to interference occasioned by density, overlap, and coverage, the tiny object detection in remote sensing images has always been a difficult problem. Therefore, we propose...

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Bibliographic Details
Main Authors: Zhe Chen, Yuan Liang, Zhengbo Yu, Ke Xu, Qingyun Ji, Xueqi Zhang, Quanping Zhang, Zijia Cui, Ziqiong He, Ruichun Chang, Zhongchang Sun, Keyan Xiao, Huadong Guo
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:International Journal of Digital Earth
Subjects:
tiny object detection
to-yolox
remote sensing image
deep learning
attention mechanism
Online Access:http://dx.doi.org/10.1080/17538947.2023.2261901

Internet

http://dx.doi.org/10.1080/17538947.2023.2261901

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