中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 先进控制与自动化团队
Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision

文献类型：期刊论文

作者Zheng, Wenbo4; Yan, Lan2,3; Gou, Chao1; Wang, Fei-Yue2,3
刊名ARTIFICIAL INTELLIGENCE REVIEW
出版日期2022-03-21
页码36
关键词Computer vision Knowledge engineering Deep learning Graph learning Meta-learning Transformer Artificial intelligence (AI)
ISSN号0269-2821
DOI10.1007/s10462-022-10166-9
通讯作者Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要This paper outlines a novel advanced framework that combines structurized knowledge and visual models-Computational Knowledge Vision. In advanced studies of image and visual perception, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This paper presents the state-of-the-art mainstream of vision models for visual perception. This paper then proposes a concept and basic framework of Computational Knowledge Vision that extends the knowledge engineering methodology to the computer vision field. In this paper, we first retrospect prior work related to Computational Knowledge Vision in the light of the connectionist and symbolist streams. We discuss neural network models, meta-learning models, graph models, and Transformer models in detail. We then illustrate a basic framework for Computational Knowledge Vision, whose essential techniques include structurized knowledge, knowledge projection, and conditional feedback. The goal of the framework is to enable visual models to gain the ability of representation, understanding, and reasoning. We also describe in-depth works in Computational Knowledge Vision and its extensions in other fields.
WOS关键词NEURAL-NETWORKS ; ARTIFICIAL-INTELLIGENCE ; SYSTEMS ; MODEL ; MULTIMEDIA ; OPTIMIZATION ; RECOGNITION ; PERSPECTIVE ; COMPLEX ; FUSION
资助项目National Key R&D Program of China[2018AAA0101502] ; Key Research and Development Program of Guangzhou[202007050002] ; National Natural Science Foundation of China[61806198] ; National Natural Science Foundation of China[U1811463]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000771386800002
出版者SPRINGER
资助机构National Key R&D Program of China ; Key Research and Development Program of Guangzhou ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/48099]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Fei-Yue
作者单位1.Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
4.Wuhan Univ Technol, Sch Comp & Artificial Intelligence, Wuhan, Peoples R China
推荐引用方式
GB/T 7714		 Zheng, Wenbo,Yan, Lan,Gou, Chao,et al. Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision[J]. ARTIFICIAL INTELLIGENCE REVIEW,2022:36.
APA Zheng, Wenbo,Yan, Lan,Gou, Chao,&Wang, Fei-Yue.(2022).Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision.ARTIFICIAL INTELLIGENCE REVIEW,36.
MLA Zheng, Wenbo,et al."Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision".ARTIFICIAL INTELLIGENCE REVIEW (2022):36.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。