ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer-Reference-Cited by-同舟云学术

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ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer

Published:2024 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Han Zongyan¹^ORCID,Fu Zhenyong¹^ORCID,Chen Shuo²^ORCID,Hui Le³,Li Guangyu¹^ORCID,Yang Jian¹^ORCID,Chen Chang Wen⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. RIKEN Center for Advanced Intelligence Project, Tokyo, Japan

3. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China

4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National Science Fund of China

Fundamental Research Funds for the Central Universities

Hong Kong Research Grants Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10507018.pdf?arnumber=10507018

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