Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition-Reference-Cited by-同舟云学术

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

Published:2023-11 Issue:11 Volume:33 Page:6788-6803
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:

Wu Yanan¹^ORCID,Feng Songhe¹^ORCID,Wang Yang²^ORCID

Affiliation:

1. Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10297951/10106016.pdf?arnumber=10106016

Reference74 articles.

1. WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

2. Multi-Class Part Parsing With Joint Boundary-Semantic Awareness

3. Person Attribute Recognition by Sequence Contextual Relation Learning

4. Deeply learned attributes for crowded scene understanding

5. Hybrid vector similarity measures based on complex hesitant fuzzy sets and their applications to pattern recognition and medical diagnosis

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