Enhanced YOLOv8 for accurate and efficient floating object detection on water surfaces

Abstract Detecting floating objects on water surfaces is critical for environmental monitoring and pollution control. We present SEDS-YOLOv8, an enhanced YOLOv8n variant that integrates Squeeze-and-Excitation (SE) attention, Distribution Shift Convolution (DSConv), and Enhanced Intersection over Uni...

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מידע ביבליוגרפי

Principais autores:	YanPeng Cao, HaoWen Luo, MengDi Wang, Yue Wang, Hao Yan
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-12-01
סדרה:	Scientific Reports
נושאים:	Water surface floater detection Distribution shifting convolution Squeeze-and-excitation networks Lightweight model YOLOv8 Computer vision
גישה מקוונת:	https://doi.org/10.1038/s41598-025-32817-x
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