A semi-supervised zero-shot image classification method based on soft-target

DOI10.1016/j.neunet.2021.05.019zbMath1521.68128OpenAlexW3164005814MaRDI QIDQ6055072

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Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2021.05.019

zbMATH Keywords

autoencoderimage classificationsemi-supervised learningzero-shot learningsoft-target

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Cites Work

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• From Word To Sense Embeddings: A Survey on Vector Representations of Meaning
• Deep Ranking for Image Zero-Shot Multi-Label Classification
• An Introduction to Variational Autoencoders

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