(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning-Reference-Cited by-同舟云学术

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(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Liu Ziming¹,Guo Song¹,Lu Xiaocheng¹,Guo Jingcai¹,Zhang Jiewei¹,Zeng Yue¹,Huo Fushuo¹

Affiliation:

1. The Hong Kong Polytechnic University,Department of Computing,Hong Kong SAR,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204379.pdf?arnumber=10204379

Reference51 articles.

1. Learning a Deep ConvNet for Multi-Label Classification With Partial Labels

2. Zero Shot Learning via Multi-scale Manifold Regularization

3. Devise: A deep visual-semantic embedding model;frome;Advances in neural information processing systems,2013

4. Collaboration Based Multi-Label Learning

5. ImageNet: A large-scale hierarchical image database

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. Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning;International Journal of Computer Vision;2024-02-27

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