Channel-spatial attention modules in convolutional neural networks for image classification

Abstract Many studies have established that the attention mechanism has great potential in improving the performance of Convolutional Neural Networks (CNNs) in image classification problems in recent years. Combining channel and spatial attention modules is one of the different kinds of attention me...

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Autors principals:	Mohammad Zolfaghari, Mohammad Saniee Abadeh, Hedieh Sajedi
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-12-01
Col·lecció:	Scientific Reports
Matèries:	Attention mechanism Parallel channel-spatial attention module (PCSAM) Sequential channel-spatial attention module (SCSAM) Convolutional neural networks (CNNs) Image classification
Accés en línia:	https://doi.org/10.1038/s41598-025-32055-1
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