An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning-Reference-Cited by-同舟云学术

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An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning

Published:2022-08 Issue:8 Volume:32 Page:5175-5186
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Yun¹^ORCID,Liu Zhe¹,Yao Lina¹^ORCID,Wang Xianzhi²^ORCID,McAuley Julian³,Chang Xiaojun⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia

2. School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia

3. School of Computer Science and Engineering, University of California at San Diego, San Diego, California, CA, USA

4. Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9849156/09698028.pdf?arnumber=9698028

Reference69 articles.

1. Feature Generating Networks for Zero-Shot Learning

2. Multi-modal cycle-consistent generalized zero-shot learning;felix;Proc Eur Conf Comput Vis (ECCV),2018

3. Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks

4. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

5. Large-Scale Machine Learning with Stochastic Gradient Descent

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