Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning-Reference-Cited by-同舟云学术

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Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning

Published:2024 Issue: Volume:33 Page:1938-1951
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Wu Jiamin¹^ORCID,Zhang Tianzhu²^ORCID,Zha Zheng-Jun¹^ORCID,Luo Jiebo³^ORCID,Zhang Yongdong¹^ORCID,Wu Feng²

Affiliation:

1. School of Information Science and Technology, University of Science and Technology of China, Hefei, China

2. Deep Space Exploration Laboratory/School of Information Science and Technology, University of Science and Technology of China, Hefei, China

3. Department of Computer Science, University of Rochester, Rochester, NY, USA

Funder

National Defense Science and Technology Foundation Strengthening Program Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10400439.pdf?arnumber=10400439

Reference60 articles.

1. Label-Embedding for Attribute-Based Classification

2. Describing objects by their attributes

3. Latent Embeddings for Zero-Shot Classification

4. Efficient estimation of word representations in vector space;Mikolov;arXiv:1301.3781,2013

5. Learning Deep Representations of Fine-Grained Visual Descriptions

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-supervised learning of pseudo classes for generalized zero-shot fine-grained recognition;Multimedia Tools and Applications;2024-04-26

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