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SRTSOD-YOLO: Stronger Real-Time Small Object Detection Algorithm Based on Improved YOLO11 for UAV Imageries

To address the challenges of small target detection in UAV aerial images—such as difficulty in feature extraction, complex background interference, high miss rates, and stringent real-time requirements—this paper proposes an innovative model series named SRTSOD-YOLO, based on YOLO11. The backbone ne...

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Uloženo v:
Hlavní autoři: Zechao Xu, Huaici Zhao, Pengfei Liu, Liyong Wang, Guilong Zhang, Yuan Chai
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-10-01
Edice:Remote Sensing
Témata:
UAV
small target detection
YOLO11
feature fusion
attention mechanism
On-line přístup:https://www.mdpi.com/2072-4292/17/20/3414
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