Relevance and Irrelevance Considered Subspace Mapping Neural Networks for Remote Sensing Text-Image Retrieval-Reference-Cited by-同舟云学术

Relevance and Irrelevance Considered Subspace Mapping Neural Networks for Remote Sensing Text-Image Retrieval

Published:2023-12-06 Issue: Volume: Page:
ISSN:
Container-title:ACM Multimedia Asia 2023
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Author:

Li Xiu¹^ORCID,Zheng Chengyu¹^ORCID,Nie Jie¹^ORCID,Zhang Ruoyu¹^ORCID,Liang Xinyue¹^ORCID,Wei Zhiqiang¹^ORCID

Affiliation:

1. Ocean University of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3595916.3626391

Reference25 articles.

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3. A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing

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5. Fartash Faghri , David J. Fleet , Jamie Ryan Kiros , and Sanja Fidler . 2018 . VSE++: Improving Visual-Semantic Embeddings with Hard Negatives . In British Machine Vision Conference 2018. BMVA Press, 12. Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, and Sanja Fidler. 2018. VSE++: Improving Visual-Semantic Embeddings with Hard Negatives. In British Machine Vision Conference 2018. BMVA Press, 12.