Multi-Modal Transformer With Global-Local Alignment for Composed Query Image Retrieval-Reference-Cited by-同舟云学术

Multi-Modal Transformer With Global-Local Alignment for Composed Query Image Retrieval

Published:2023 Issue: Volume:25 Page:8346-8357
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Xu Yahui¹^ORCID,Bin Yi¹^ORCID,Wei Jiwei¹^ORCID,Yang Yang¹^ORCID,Wang Guoqing¹^ORCID,Shen Heng Tao²^ORCID

Affiliation:

1. Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Center for Future Multimedia and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Dongguan Songshan Lake Introduction Program of Leading Innovative and Entrepreneurial Talents

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10016790/10012544.pdf?arnumber=10012544

Reference66 articles.

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5. Adaptive Label-aware Graph Convolutional Networks for Cross-Modal Retrieval

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