Enhancing Zero-Shot Learning Through Kernelized Visual Prototypes and Similarity Learning

Zero-shot learning (ZSL) holds significant promise for scaling image classification to previously unseen classes by leveraging previously acquired knowledge. However, conventional ZSL methods face challenges such as domain-shift and hubness problems. To address these issues, we propose a novel kerne...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Kanglong Cheng, Bowen Fang
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	nonlinear method prototype learning similarity learning zero-shot learning
Online Access:	https://www.mdpi.com/2227-7390/13/3/412