Zero-Shot Learning by Harnessing Adversarial Samples-Reference-Cited by-同舟云学术

Zero-Shot Learning by Harnessing Adversarial Samples

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Chen Zhi¹^ORCID,Zhang Pengfei¹^ORCID,Li Jingjing²^ORCID,Wang Sen¹^ORCID,Huang Zi¹^ORCID

Affiliation:

1. The University of Queensland, Brisbane, QLD, Australia

2. University of Electronic Science and Technology of China, Chengdu, China

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611823

Reference50 articles.

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3. L. Chen H. Zhang J. Xiao W. Liu and S. Chang. 2018. Zero-shot visual recognition using semantics-preserving adversarial embedding networks. In IEEE CVPR. 1043--1052. L. Chen H. Zhang J. Xiao W. Liu and S. Chang. 2018. Zero-shot visual recognition using semantics-preserving adversarial embedding networks. In IEEE CVPR. 1043--1052.

4. S. Chen , Z. Hong , G. Xie , W. Yang , Q. Peng , K. Wang , J. Zhao , and X. You . 2022 a. Msdn: Mutually semantic distillation network for zero-shot learning . In IEEE/CVF CVPR. 7612--7621. S. Chen, Z. Hong, G. Xie, W. Yang, Q. Peng, K. Wang, J. Zhao, and X. You. 2022a. Msdn: Mutually semantic distillation network for zero-shot learning. In IEEE/CVF CVPR. 7612--7621.

5. Hsva: Hierarchical semantic-visual adaptation for zero-shot learning;Chen S.;NeurIPS,2021

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