Generative Modeling of Audible Shapes for Object Perception
© 2017 IEEE. Humans infer rich knowledge of objects from both auditory and visual cues. Building a machine of such competency, however, is very challenging, due to the great difficulty in capturing large-scale, clean data of objects with both their appearance and the sound they make. In this paper,...
Main Authors: | Zhang, Zhoutong, Wu, Jiajun, Li, Qiujia, Huang, Zhengjia, Traer, James, McDermott, Josh H., Tenenbaum, Joshua B., Freeman, William T. |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/137459 |
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