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Infrared and Visible Image Fusion Network Based on Self-Compensating Lightweight Convolution

Deep learning has significantly improved the quality of infrared and visible image fusion. However, existing mainstream deep fusion networks often come with complex architectures and a large number of parameters. While general lightweight techniques can effectively reduce model complexity, they ofte...

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Principais autores: Ruolin Li, Hongmei Wang, Qiaorong Wu, Cheng Liang, Haoyu Li, Jingyu Wang
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2026-06-01
סדרה:Sensors
נושאים:
image fusion
model lightweighting
convolutional neural networks
depthwise separable convolution
גישה מקוונת:https://www.mdpi.com/1424-8220/26/12/3748
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