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DPACFuse:用于红外和可见图像融合的双分支渐进式学习,与补充的自我注意和卷积相结合

Huayi Zhu1, Heshan Wu1, Xiaolong Wang1

  • 1School of Computer and Information Security, Guilin University of Electronic Science and Technology, Guilin 541004, China.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究介绍了DPACFuse用于红外和可见图像融合,增强跨模式功能学习. 新方法显著提高了融合图像质量和下游任务性能.

关键词:
卷积神经网络是一种卷积神经网络.跨模式交互的交互.梯度卷曲曲线的渐变情况图像融合 图像融合 图像融合多头自我注意的多头自动注意.

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