A Self-Supervised One-Shot Learning Approach for Seismic Noise Reduction
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, this work introduces an adaptation of the Noise2Self algorit...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2024-10-01
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| Colección: | Applied Sciences |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2076-3417/14/21/9721 |
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