Brain-inspired semantic data augmentation for multi-style images

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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Wei Wang, Zhaowei Shang, Chengxing Li
Fformat:	Erthygl
Iaith:	English
Cyhoeddwyd:	Frontiers Media S.A. 2024-03-01
Cyfres:	Frontiers in Neurorobotics
Pynciau:	data augmentation deep learning robust statistics style transfer uncertainty modeling brain-inspired computer vision
Mynediad Ar-lein:	https://www.frontiersin.org/articles/10.3389/fnbot.2024.1382406/full

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