Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering.
Alireza Salemi|Mahta Rafiee|Hamed Zamani
| Anthology ID: | DBLP:conf/ictir/SalemiRZ23 |
|---|---|
| Volume: | Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023 |
| Year: | 2023 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 169-176 |
| URL: | https://doi.org/10.1145/3578337.3605137 |
| DOI: | https://doi.org/10.1145/3578337.3605137 |
| DBLP: | conf/ictir/SalemiRZ23 |
| BibTeX: |
@inproceedings{salemi-2023-pretraining,
author = {Alireza Salemi and
Mahta Rafiee and
Hamed Zamani},
editor = {Masaharu Yoshioka and
Julia Kiseleva and
Mohammad Aliannejadi},
title = {{Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering}},
booktitle = {{Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023}},
pages = {169--176},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3578337.3605137},
doi = {https://doi.org/10.1145/3578337.3605137}
}