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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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Auteurs principaux: Wei Wang, Zhaowei Shang, Chengxing Li
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2024-03-01
Collection:Frontiers in Neurorobotics
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Accès en ligne:https://www.frontiersin.org/articles/10.3389/fnbot.2024.1382406/full
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