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Graph-Based Self-Training for Semi-Supervised Deep Similarity Learning

Semi-supervised learning is a learning pattern that can utilize labeled data and unlabeled data to train deep neural networks. In semi-supervised learning methods, self-training-based methods do not depend on a data augmentation strategy and have better generalization ability. However, their perform...

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Detalles Bibliográficos
Autores principales:	Wang, Yifan, Huang, Yan, Wang, Qicong, Zhao, Chong, Zhang, Zhenchang, Chen, Jian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145307/ https://www.ncbi.nlm.nih.gov/pubmed/37112285 http://dx.doi.org/10.3390/s23083944

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