CAliC: Accurate and Efficient Image-Text Retrieval via Contrastive Alignment and Visual Contexts Modeling-Reference-Cited by-同舟云学术

CAliC: Accurate and Efficient Image-Text Retrieval via Contrastive Alignment and Visual Contexts Modeling

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Gao Hongyu¹,Zhu Chao¹,Liu Mengyin¹,Gu Weibo²,Wang Hongfa²,Liu Wei²,Yin Xu-cheng¹

Affiliation:

1. University of Science and Technology Beijing, Beijing, China

2. Tencent, Shenzhen, China

Funder

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548320

Reference43 articles.

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5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019 , Minneapolis, MN, USA, June 2--7 , 2019, Volume 1 (Long and Short Papers). Association for Computational Linguistics, 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2--7, 2019, Volume 1 (Long and Short Papers). Association for Computational Linguistics, 4171--4186.

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