Cargando…
Cross-domain few-shot learning based on pseudo-Siamese neural network
Cross-domain few-shot learning is one of the research highlights in machine learning. The difficulty lies in the accuracy drop of cross-domain network learning on a single domain due to the differences between the domains. To alleviate the problem, according to the idea of contour cognition and the...
Autores principales: | Gong, Yuxuan, Yue, Yuqi, Ji, Weidong, Zhou, Guohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876891/ https://www.ncbi.nlm.nih.gov/pubmed/36697442 http://dx.doi.org/10.1038/s41598-023-28588-y |
Ejemplares similares
-
A Few-Shot Learning-Based Siamese Capsule Network for Intrusion Detection with Imbalanced Training Data
por: Wang, Zu-Min, et al.
Publicado: (2021) -
Few-Shot Learning-Based Light-Weight WDCNN Model for Bearing Fault Diagnosis in Siamese Network
por: Lee, Daehwan, et al.
Publicado: (2023) -
Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks
por: Qu, Dixin
Publicado: (2022) -
One shot ancient character recognition with siamese similarity network
por: Liu, Xuxing, et al.
Publicado: (2022) -
Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain
por: Lin, Hong, et al.
Publicado: (2022)