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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145307/
https://www.ncbi.nlm.nih.gov/pubmed/37112285
http://dx.doi.org/10.3390/s23083944

Ejemplares similares