Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning

Author:

Owens Andrew,Wu Jiajun,McDermott Josh H.,Freeman William T.,Torralba Antonio

Funder

National Science Foundation

Microsoft Research

McDonnell Scholar Award

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference55 articles.

1. Agrawal, P., Carreira, J., & Malik, J. (2015). Learning to see by moving. In IEEE international conference on computer vision.

2. Andrew, G., Arora, R., Bilmes, J. A., & Livescu, K. (2013). Deep canonical correlation analysis. In International conference on machine learning.

3. Arandjelović, R., & Zisserman, A. (2017). Look, listen and learn. ICCV.

4. Aytar, Y., Vondrick, C., & Torralba, A. (2016). Soundnet: Learning sound representations from unlabeled video. In Advances in neural information processing systems.

5. Bau, D., Zhou, B., Khosla, A., Oliva, A., & Torralba, A. (2017). Network dissection: Quantifying interpretability of deep visual representations. CVPR.

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