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Deep Audio-visual Learning:A Survey 被引量:5
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作者 Hao Zhu Man-Di Luo +2 位作者 Rui Wang Ai-Hua Zheng Ran He 《International Journal of Automation and computing》 EI CSCD 2021年第3期351-376,共26页
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 tw... 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:audiovisual 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. 展开更多
关键词 Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation learning
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