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S3T: Self-supervised pre-training with Swin Transformer for music classification

Self-supervised pre-training method with Swin Transformer for music classification, leveraging massive unlabeled music data to improve the performance of music classification and reduce the dependence on a considerable amount of labeled music data.

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Cite this as

Hang Zhao, Chen Zhang, Bilei Zhu, Zejun Ma, Kejun Zhang (2024). Dataset: S3T: Self-supervised pre-training with Swin Transformer for music classification. https://doi.org/10.57702/v7kxjv8j

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Hang Zhao
More Authors	Chen Zhang Bilei Zhu Zejun Ma Kejun Zhang
Homepage	https://arxiv.org/abs/2103.14030