Learning cross-domain semantic-visual relationships for transductive zero-shot learning

Learning cross-domain semantic-visual relationships for transductive zero-shot learning

Zero-Shot Learning (ZSL) learns models for recognizing new classes. One of the main challenges in ZSL is the domain discrepancy caused by the category inconsistency between training and testing data. Domain adaptation is the most intuitive way to address this challenge. However, existing domain adap...

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Bibliographic Details
Main Authors: Lv, Fengmao, Zhang, Jianyang, Yang, Guowu, Feng, Lei, Yu, Yufeng, Duan, Lixin
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Transfer Learning
Domain Adaptation
Online Access:https://hdl.handle.net/10356/172041

Internet

https://hdl.handle.net/10356/172041

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