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Towards a New Paradigm for Brain-inspired Computer Vision | |
Xiao-Long Zou1,2; Tie-Jun Huang1,3,4; Si Wu1,2,4 | |
发表期刊 | Machine Intelligence Research
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ISSN | 2731-538X |
2022 | |
卷号 | 19期号:5页码:412-424 |
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. |
关键词 | Brain-inspired computer vision spatio-temporal patterns object detection object tracking object recognition |
DOI | 10.1007/s11633-022-1370-z |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/ndomFyl5DAZj8xYKQoosQQ |
视频解析 | https://www.bilibili.com/video/BV1pe4y1G7x8/ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55953 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Beijing Academy of Artificial Intelligence, Beijing 100084, China 2.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 3.National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing 100871, China 4.Institute for Artificial Intelligence, Peking University, Beijing 100871, China |
推荐引用方式 GB/T 7714 | Xiao-Long Zou,Tie-Jun Huang,Si Wu. Towards a New Paradigm for Brain-inspired Computer Vision[J]. Machine Intelligence Research,2022,19(5):412-424. |
APA | Xiao-Long Zou,Tie-Jun Huang,&Si Wu.(2022).Towards a New Paradigm for Brain-inspired Computer Vision.Machine Intelligence Research,19(5),412-424. |
MLA | Xiao-Long Zou,et al."Towards a New Paradigm for Brain-inspired Computer Vision".Machine Intelligence Research 19.5(2022):412-424. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-05-143.pdf(1615KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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