Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering-Reference-Cited by-同舟云学术

Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering

Published:2023-08-09 Issue: Volume: Page:
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Container-title:Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval
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Author:

Salemi Alireza¹^ORCID,Rafiee Mahta¹^ORCID,Zamani Hamed¹^ORCID

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578337.3605137

Reference53 articles.

1. Domain-specific knowledge graphs: A survey

2. VQA;Agrawal Aishwarya;Visual Question Answering. Int. J. Comput. Vision,2017

3. InPars: Unsupervised Dataset Generation for Information Retrieval

4. Wei-Cheng Chang , Felix X. Yu , Yin-Wen Chang , Yiming Yang , and Sanjiv Kumar . 2020. Pre-training Tasks for Embedding-based Large-scale Retrieval. ArXiv , Vol. abs/ 2002 .03932 ( 2020 ). Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar. 2020. Pre-training Tasks for Embedding-based Large-scale Retrieval. ArXiv, Vol. abs/2002.03932 (2020).

5. All You May Need for VQA are Image Captions

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