SACA融合:一种基于自注意和交叉注意的红外和可见光图像微光融合架构

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Chongchong Yu, Shunan Li, Wenbin Feng, Tong Zheng, Shu Liu
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引用次数: 1

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SACA-fusion: a low-light fusion architecture of infrared and visible images based on self- and cross-attention
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来源期刊
Visual Computer
Visual Computer 工程技术-计算机:软件工程
CiteScore
5.80
自引率
31.40%
发文量
373
审稿时长
4.3 months
期刊介绍: The Visual Computer publishes articles on all research fields of capturing, recognizing, modelling, analysing and generating shapes and images. It includes image understanding, machine learning for graphics and 3D fabrication. 3D Reconstruction Computer Animation Computational Fabrication Computational Geometry Computational Photography Computer Vision for Computer Graphics Data Compression for Graphics Geometric Modelling Geometric Processing HCI and Computer Graphics Human Modelling Image Analysis Image Based Rendering Image Processing Machine Learning for Graphics Medical Imaging Pattern Recognition Physically Based Modelling Illumination and Rendering Methods Robotics and Vision Saliency Methods Scientific Visualization Shape and Surface Modelling Shape Analysis and Image Retrieval Shape Matching Sketch-based Modelling Solid Modelling Stylized rendering Textures Virtual and Augmented Reality Visual Analytics Volume Rendering All papers are subject to thorough review and, if accepted, will be revised accordingly. Original contributions, describing advances in the theory in the above mentioned fields as well as practical results and original applications, are invited.
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