Low resolution remote sensing object detection with fine grained enhancement and swin transformer

Abstract Object detection in remote sensing images is a highly complex and challenging task. Remote sensing images typically suffer from issues such as small target sizes and densely distributed targets. Existing object detection algorithms often underperform in such scenarios due to their limited c...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Zhijing Xu, Xin Wang, Kan Huang, Ren Chen
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Low-resolution remote sensing images Object detection Fine-grained information Swin transformer Shape-IoU
Online Access:	https://doi.org/10.1038/s41598-025-10286-6