Self-Supervised Transfer Learning from Natural Images for Sound Classification
We propose the implementation of transfer learning from natural images to audio-based images using self-supervised learning schemes. Through self-supervised learning, convolutional neural networks (CNNs) can learn the general representation of natural images without labels. In this study, a convolut...
Автори: | Sungho Shin, Jongwon Kim, Yeonguk Yu, Seongju Lee, Kyoobin Lee |
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Формат: | Стаття |
Мова: | English |
Опубліковано: |
MDPI AG
2021-03-01
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Серія: | Applied Sciences |
Предмети: | |
Онлайн доступ: | https://www.mdpi.com/2076-3417/11/7/3043 |
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