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本文引用的文献

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Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems.社论:信息物理系统的图像融合与质量提升的最新进展
Front Neurorobot. 2023 May 4;17:1201266. doi: 10.3389/fnbot.2023.1201266. eCollection 2023.
2
DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model.双流:通过流场和基于归一化流的模型生成不可察觉的对抗样本。
Front Neurorobot. 2023 Feb 9;17:1129720. doi: 10.3389/fnbot.2023.1129720. eCollection 2023.
3
Research on steel rail surface defects detection based on improved YOLOv4 network.基于改进YOLOv4网络的钢轨表面缺陷检测研究
Front Neurorobot. 2023 Feb 9;17:1119896. doi: 10.3389/fnbot.2023.1119896. eCollection 2023.
4
Multi-exposure electric power monitoring image fusion method without ghosting based on exposure fusion framework and color dissimilarity feature.基于曝光融合框架和颜色差异特征的无重影多曝光电力监测图像融合方法
Front Neurorobot. 2023 Jan 10;16:1105385. doi: 10.3389/fnbot.2022.1105385. eCollection 2022.
5
Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city.智慧城市中浓雾环境下电力线路在线监测图像增强方法研究
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6
A lightweight multi-dimension dynamic convolutional network for real-time semantic segmentation.一种用于实时语义分割的轻量级多维动态卷积网络。
Front Neurorobot. 2022 Dec 15;16:1075520. doi: 10.3389/fnbot.2022.1075520. eCollection 2022.
7
Transformer-based progressive residual network for single image dehazing.基于Transformer的单图像去雾渐进式残差网络。
Front Neurorobot. 2022 Dec 6;16:1084543. doi: 10.3389/fnbot.2022.1084543. eCollection 2022.
8
Multi-view SoftPool attention convolutional networks for 3D model classification.用于3D模型分类的多视图软池注意力卷积网络
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9
Multimodal medical image fusion using convolutional neural network and extreme learning machine.使用卷积神经网络和极限学习机的多模态医学图像融合
Front Neurorobot. 2022 Nov 16;16:1050981. doi: 10.3389/fnbot.2022.1050981. eCollection 2022.
10
Multi-focus image fusion dataset and algorithm test in real environment.真实环境下的多聚焦图像融合数据集与算法测试
Front Neurorobot. 2022 Oct 18;16:1024742. doi: 10.3389/fnbot.2022.1024742. eCollection 2022.

Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II.

作者信息

Jin Xin, Lee Shin-Jye, Wozniak Michal, Jiang Qian

机构信息

School of Software, Yunnan University, Kunming, Yunnan, China.

Department of Systems and Computer Networks, Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, Wroclaw, Poland.

出版信息

Front Neurorobot. 2024 May 29;18:1422982. doi: 10.3389/fnbot.2024.1422982. eCollection 2024.

DOI:10.3389/fnbot.2024.1422982
PMID:38868079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11167091/
Abstract
摘要