Self-Supervised Transfer Learning from Natural Images for Sound Classification

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...

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Dettagli Bibliografici
Autori principali:	Sungho Shin, Jongwon Kim, Yeonguk Yu, Seongju Lee, Kyoobin Lee
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2021-03-01
Serie:	Applied Sciences
Soggetti:	deep learning sound event detection self-supervised learning transfer learning natural image
Accesso online:	https://www.mdpi.com/2076-3417/11/7/3043

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