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Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input
Image data collection and labelling is costly or difficult in many real applications. Generating diverse and controllable images using conditional generative adversarial networks (GANs) for data augmentation from a small dataset is promising but challenging as deep convolutional neural networks need...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627232/ https://www.ncbi.nlm.nih.gov/pubmed/34901424 http://dx.doi.org/10.7717/peerj-cs.760 |