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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Dettagli Bibliografici
Autori principali: Lv, Fengmao, Zhang, Jianyang, Yang, Guowu, Feng, Lei, Yu, Yufeng, Duan, Lixin
Altri autori: School of Computer Science and Engineering
Natura: Journal Article
Lingua:English
Pubblicazione: 2023
Soggetti:
Accesso online:https://hdl.handle.net/10356/172041