Brain-inspired semantic data augmentation for multi-style images
Data augmentation is an effective technique for automatically expanding training data in deep learning. Brain-inspired methods are approaches that draw inspiration from the functionality and structure of the human brain and apply these mechanisms and principles to artificial intelligence and compute...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2024-03-01
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| Serier: | Frontiers in Neurorobotics |
| Fag: | |
| Online adgang: | https://www.frontiersin.org/articles/10.3389/fnbot.2024.1382406/full |
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