Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components

Few-shot classification aims at leveraging knowledge learned in a deep learning model, in order to obtain good classification performance on new problems, where only a few labeled samples per class are available. Recent years have seen a fair number of works in the field, each one introducing their...

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Bibliographic Details
Main Authors: Yassir Bendou, Yuqing Hu, Raphael Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Imaging
Subjects:
few-shot learning
classification
deep learning
augmentations
self-supervision
ensembling
Online Access:https://www.mdpi.com/2313-433X/8/7/179

Internet

https://www.mdpi.com/2313-433X/8/7/179

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