Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification

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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Bibliographic Details
Main Authors:	Zhikui Chen, Xu Zhang, Wei Huang, Jing Gao, Suhua Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-05-01
Series:	Frontiers in Neurorobotics
Subjects:	few-shot learning deep transfer learning context awareness cross modal information image classification
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2021.654519/full

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