A survey of image clustering: Taxonomy and recent methods

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	A survey of image clustering: Taxonomy and recent methods
	Liu JX(刘佳鑫)3; Wang, Dongwei 2; Yu SQ(余思泉)1,5; Li, Xueliang 4; Han Z(韩志)1,5; Tang YD(唐延东)1,5
	2021
会议日期	July 15-19, 2021
会议地点	Xining, China
关键词	Image clustering autoencoder subspace clustering graph convolution network contrastive learning
页码	375-380
英文摘要	Image clustering is a fundamental problem in computer vision domains. In this survey, we provide a comprehensive overview of image clustering. Specifically, we first discuss the applications of image clustering across various domains. Then, we summarize the common algorithms and propose a classification of image clustering. The existing methods are classified from four aspects: autoencoder based methods, subspace clustering, graph convolution network (GCN) based methods and some other clustering methods. We introduce the main research contents and existing problems of various image clustering methods. We also introduce some recent methods and summarize the experimental results. Based on our taxonomy and analysis, creating and verifying new methods is more straightforward. Finally, we propose the future opportunities in this fast developing field.
源文献作者	IEEE Robotics and Automation Society (RA) ; Shanghai Jiao Tong University ; Shenzhen Institute of Advanced Technology (SIAT)
产权排序	3
会议录	2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-6654-3678-6
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/29683]
专题	沈阳自动化研究所_机器人学研究室
通讯作者	Yu SQ(余思泉)
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, China 2.School of Technology, Beijing Forestry University, Beijing, China 3.State Grid Liaoning Electric Power Research Institute, Shenyang, China 4.State Grid Shandong Electric Power Company, Shandong, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
推荐引用方式 GB/T 7714	Liu JX,Wang, Dongwei,Yu SQ,et al. A survey of image clustering: Taxonomy and recent methods[C]. 见:. Xining, China. July 15-19, 2021.