Towards a New Paradigm for Brain-inspired Computer Vision

doi:10.1007/s11633-022-1370-z

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Towards a New Paradigm for Brain-inspired Computer Vision
	Xiao-Long Zou 3,4
刊名	Machine Intelligence Research
	2022
卷号	19 期号:5 页码:412-424
关键词	Brain-inspired computer vision spatio-temporal patterns object detection object tracking object recognition
ISSN号	2731-538X
DOI	10.1007/s11633-022-1370-z
英文摘要	Brain-inspired computer vision aims to learn from biological systems to develop advanced image processing techniques. However, its progress so far is not impressing. We recognize that a main obstacle comes from that the current paradigm for brain-inspired computer vision has not captured the fundamental nature of biological vision, i.e., the biological vision is targeted for processing spatio-temporal patterns. Recently, a new paradigm for developing brain-inspired computer vision is emerging, which emphasizes on the spatio-temporal nature of visual signals and the brain-inspired models for processing this type of data. In this paper, we review some recent primary works towards this new paradigm, including the development of spike cameras which acquire spiking signals directly from visual scenes, and the development of computational models learned from neural systems that are specialized to process spatio-temporal patterns, including models for object detection, tracking, and recognition. We also discuss about the future directions to improve the paradigm.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/49916]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Institute for Artificial Intelligence, Peking University, Beijing 100871, China 2.National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing 100871, China 3.School of Psychology and Cognitive Sciences, IDG/McGovern Institute for Brain Research, Center for Quantitative Biology, PKU-Tsinghua Center for Life Sciences, Peking University, Beijing 100084, China 4.Beijing Academy of Artificial Intelligence, Beijing 100084, China
推荐引用方式 GB/T 7714	Xiao-Long Zou. Towards a New Paradigm for Brain-inspired Computer Vision[J]. Machine Intelligence Research,2022,19(5):412-424.
APA	Xiao-Long Zou.(2022).Towards a New Paradigm for Brain-inspired Computer Vision.Machine Intelligence Research,19(5),412-424.
MLA	Xiao-Long Zou."Towards a New Paradigm for Brain-inspired Computer Vision".Machine Intelligence Research 19.5(2022):412-424.