基于特征表示细化和语义感知增强的低照度目标检测网络

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Visual Computer Pub Date : 2023-07-21 DOI:10.1007/s00371-023-03024-4

Zetao Jiang, Daoquan Shi, Shaoqin Zhang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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FRSE-Net: low-illumination object detection network based on feature representation refinement and semantic-aware enhancement

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来源期刊

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.