中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep Audio-Visual Learning: A Survey

文献类型:期刊论文

作者Hao Zhu3,4; Man-Di Luo2,3; Rui Wang3,4; Ai-Hua Zheng4; Ran He1,2,3
刊名International Journal of Automation and Computing
出版日期2021
卷号18期号:3页码:351-376
关键词Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation learning
ISSN号1476-8186
DOI10.1007/s11633-021-1293-0
英文摘要Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfully. Researchers tend to leverage these two modalities to improve the performance of previously considered single-modality tasks or address new challenging problems. In this paper, we provide a comprehensive survey of recent audio-visual learning development. We divide the current audio-visual learning tasks into four different subfields: audio-visual separation and localization, audio-visual correspondence learning, audio-visual generation, and audio-visual representation learning. State-of-the-art methods, as well as the remaining challenges of each subfield, are further discussed. Finally, we summarize the commonly used datasets and challenges.
源URL[http://ir.ia.ac.cn/handle/173211/44288]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
自动化研究所_投资企业
作者单位1.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
2.School of Artificial Intelligence, University of the Chinese Academy of Sciences, Beijing 100049, China
3.Center for Research on Intelligent Perception and Computing (CRIPAC) and National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
4.Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei 230601, China
推荐引用方式
GB/T 7714
Hao Zhu,Man-Di Luo,Rui Wang,et al. Deep Audio-Visual Learning: A Survey[J]. International Journal of Automation and Computing,2021,18(3):351-376.
APA Hao Zhu,Man-Di Luo,Rui Wang,Ai-Hua Zheng,&Ran He.(2021).Deep Audio-Visual Learning: A Survey.International Journal of Automation and Computing,18(3),351-376.
MLA Hao Zhu,et al."Deep Audio-Visual Learning: A Survey".International Journal of Automation and Computing 18.3(2021):351-376.

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。