Loss Architecture Search for Few-Shot Object Recognition

Few-shot object recognition, which exploits a set of well-labeled data to build a classifier for new classes that have only several samples per class, has received extensive attention from the machine learning community. In this paper, we investigate the problem of designing an optimal loss function...

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Bibliographic Details
Main Authors: Jun Yue, Zelang Miao, Yueguang He, Nianchun Du
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/1041962
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