Graph attention mechanism with global contextual information for multi-label image recognition-Reference-Cited by-同舟云学术

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Graph attention mechanism with global contextual information for multi-label image recognition

Published:2021-12-28 Issue:06 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Ban Xiaoxiao¹,Li Peihua²,Wang Qilong²,Zhou Shoujun³,Guo Shijie⁴,Wang Yuanquan¹

Affiliation:

1. Hebei University of Technology, School of Artificial Intelligence, Tianjin

2. Dalian University of Technology, School of Information and Communication Engineering, Liaoning

3. Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen

4. Hebei University of Technology, Hebei Key Laboratory of Robot Perception and Human-Robot Interaction

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 3 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. Multi-label recognition of facial body constitution via MLP-like deep networks with non-equilibrium weight loss;Biomedical Signal Processing and Control;2024-01

2. Template matching via bipartite graph and graph attention mechanism;IET Image Processing;2022-12-30

3. A Deep Learning-Based Cluster Analysis Method for Large-Scale Multi-Label Images;Traitement du Signal;2022-06-30

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