DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects

To enable accurate and efficient real-time detection of rail fastener defects under resource-constrained environments, we propose DP-YOLO, an advanced lightweight algorithm based on YOLOv5s with four key optimizations. First, we design a Depthwise Separable Convolution Stage Partial (DSP) module tha...

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Detalhes bibliográficos

Principais autores:	Lihua Chen, Qi Sun, Ziyang Han, Fengwen Zhai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
coleção:	Sensors
Assuntos:	rail fastener defects detection lightweight YOLOv5s attention mechanism statistical information weighted feature maps
Acesso em linha:	https://www.mdpi.com/1424-8220/25/7/2139
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