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Detection in Road Crack Images Based on Sparse Convolution

Ensuring the structural integrity of road infrastructure is vital for transportation safety and long-term sustainability. This study presents a lightweight and accurate pavement crack detection framework named SpcNet, which integrates a Sparse Encoding Module, ConvNeXt V2-based decoder, and a Binary...

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Principais autores: Yang Li, Xinhang Li, Ke Shen, Yacong Li, Dong Sui, Maozu Guo
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-12-01
coleção:Mathematical and Computational Applications
Assuntos:
deep learning
road crack detection
sparse convolution
attention mechanism
asymmetric mask
Acesso em linha:https://www.mdpi.com/2297-8747/30/6/132
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