Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Computer Graphics and Applications Pub Date : 2024-09-09 DOI:10.1109/mcg.2024.3455012

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel

引用次数: 0

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Q-Seg：基于量子退火的无监督图像分割

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来源期刊

IEEE Computer Graphics and Applications 工程技术-计算机：软件工程

CiteScore

3.20

自引率

5.60%

发文量

160

审稿时长

>12 weeks

期刊介绍： IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.