Spatial and Channel Attention Integration with Separable Squeeze-and-Excitation Networks for Image Classifications

In recent years, convolutional neural networks (CNNs) have performed remarkably well in various computer vision tasks. Attention mechanisms have been extensively explored to enhance the discriminative and representational ability of CNNs. Among these, Squeeze-and-Excitation (SE) networks have shown...

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Главные авторы:	Nazmul Shahadat, Shleshma Regmi, Anup Rijal
Формат:	Artigo
Язык:	Inglês
Опубликовано:	LibraryPress@UF 2025-05-01
Серии:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Предметы:	Attention Mechanism CNN Convolutional Neural Network Squeeze and Excitation Network Computer Vision image classification
Online-ссылка:	https://journals.flvc.org/FLAIRS/article/view/138802
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