Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization-Reference-Cited by-同舟云学术

Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization

Published:2022-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhang Lei¹,Yang Min²,Li Chengming³,Xu Ruifeng⁴

Affiliation:

1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen, China

3. Sun Yat-sen University, Shenzhen, China

4. Harbin Institute of Technology, Shenzhen, China

Funder

Youth Innovation Promotion Association of CAS China

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province of China

Shenzhen Science and Technology Innovation Program

Shenzhen Basic Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531783

Reference21 articles.

1. Cross-Modal Image-Text Retrieval with Semantic Consistency

2. NUS-WIDE

3. Cross-modal Retrieval with Correspondence Autoencoder

4. Ian Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014. Generative adversarial nets. Advances in neural information processing systems 27 ( 2014 ). Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems 27 (2014).

5. Cross-Modal Retrieval via Deep and Bidirectional Representation Learning

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