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Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification

Deep transfer learning aims at dealing with challenges in new tasks with insufficient samples. However, when it comes to few-shot learning scenarios, due to the low diversity of several known training samples, they are prone to be dominated by specificity, thus leading to one-sidedness local feature...

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Detalles Bibliográficos
Autores principales:	Chen, Zhikui, Zhang, Xu, Huang, Wei, Gao, Jing, Zhang, Suhua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180855/ https://www.ncbi.nlm.nih.gov/pubmed/34108871 http://dx.doi.org/10.3389/fnbot.2021.654519

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