| Biologically inspired visual computing:the state of the art |
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| 引用本文： | Wangli HAO,Ian Max ANDOLINA,Wei WANG,Zhaoxiang ZHANG. Biologically inspired visual computing:the state of the art[J]. Frontiers of Computer Science, 2021, 15(1): 151304-15. DOI: 10.1007/s11704-020-9001-8 |
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| 作者姓名： | Wangli HAO Ian Max ANDOLINA Wei WANG Zhaoxiang ZHANG |
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| 作者单位： | Research Center for Research on Intelligent Perception and Computing;National Laboratory of Pattern Recognition;CAS Center for Excellence in Brain Science and Intelligence Technology;University of Chinese Academy of Sciences;State Key Laboratory of Neuroscience;Institute of Neuroscience |
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| 基金项目： | This work was supported in part by the National Key R&D Program of China(2018YFB1004600);the National Natural Science Foundation of China(Grant Nos.61761146004,61773375);the Beijing Municipal Natural Science Foundation(Z181100008918010);Chinese Academy of Sciences(153D31KYSB20160282). |
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| 摘 要： | Visual information is highly advantageous for the evolutionary success of almost all animals.This information is likewise critical for many computing tasks,and visual computing has achieved tremendous successes in numerous applications over the last 60 years or so.In that time,the development of visual computing has moved forwards with inspiration from biological mechanisms many times.In particular,deep neural networks were inspired by the hierarchical processing mechanisms that exist in the visual cortex of primate brains(including ours),and have achieved huge breakthroughs in many domainspecific visual tasks.In order to better understand biologically inspired visual computing,we will present a survey of the current work,and hope to offer some new avenues for rethinking visual computing and designing novel neural network architectures.
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| 关 键 词： | brain-inspired VISION neural models INTELLIGENCE novel neural networks |
Biologically inspired visual computing: the state of the art |
| |
| Wangli HAO,Ian Max ANDOLINA,Wei WANG,Zhaoxiang ZHANG. Biologically inspired visual computing: the state of the art[J]. Frontiers of Computer Science, 2021, 15(1): 151304-15. DOI: 10.1007/s11704-020-9001-8 |
| |
| Authors: | Wangli HAO Ian Max ANDOLINA Wei WANG Zhaoxiang ZHANG |
| |
| Abstract: | Visual information is highly advantageous for the evolutionary success of almost all animals. This information is likewise critical for many computing tasks, and visual computing has achieved tremendous successes in numerous applications over the last 60 years or so. In that time, the development of visual computing has moved forwards with inspiration from biological mechanisms many times. In particular, deep neural networks were inspired by the hierarchical processing mechanisms that exist in the visual cortex of primate brains (including ours), and have achieved huge breakthroughs in many domainspecific visual tasks. In order to better understand biologically inspired visual computing, we will present a survey of the current work, and hope to offer some new avenues for rethinking visual computing and designing novel neural network architectures. |
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| Keywords: | brain-inspired vision neural models intelligence novel neural networks |
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