R-AFPN: a residual asymptotic feature pyramid network for UAV aerial photography of small targets

R-AFPN: a residual asymptotic feature pyramid network for UAV aerial photography of small targets

Abstract This study proposes an improved Residual Asymptotic Feature Pyramid Network (R-AFPN) to address challenges in small target detection from the Unmanned Aerial Vehicle (UAV) perspectives, such as scale imbalance, feature extraction difficulty, occlusion, and computational constraints. The R-A...

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Bibliographic Details
Main Authors: Zuowen Chen, Yahong Ma, Zi’an Gong, Minghao Cao, Yuyao Yang, Zhiyuan Wang, Tengjie Wang, Jing Li, Yuxi Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
UAV
Small target detection
Residual connectivity
Asymptotic feature fusion
Context learning
Online Access:https://doi.org/10.1038/s41598-025-00008-3
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https://doi.org/10.1038/s41598-025-00008-3

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