HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning

HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning

Zero-Shot Learning (ZSL) is related to training machine learning models capable of classifying or predicting classes (labels) that are not involved in the training set (unseen classes). A well-known problem in Deep Learning (DL) is the requirement for large amount of training data. Zero-Shot learnin...

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Bibliographic Details
Main Authors: Fadi Al Machot, Mohib Ullah, Habib Ullah
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Imaging
Subjects:
Zero-Shot Learning (ZSL)
semantic space
conditional autoencoders
generative models
computer vision
Online Access:https://www.mdpi.com/2313-433X/8/6/171

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https://www.mdpi.com/2313-433X/8/6/171

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