AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning.
Zhaotian Li|Binhang Qi|Hailong Sun|Xiang Gao
| Anthology ID: | DBLP:conf/cikm/LiQ0G23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1228-1237 |
| URL: | https://doi.org/10.1145/3583780.3614787 |
| DOI: | https://doi.org/10.1145/3583780.3614787 |
| DBLP: | conf/cikm/LiQ0G23 |
| BibTeX: |
@inproceedings{li-2023-automrm,
author = {Zhaotian Li and
Binhang Qi and
Hailong Sun and
Xiang Gao},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1228--1237},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614787},
doi = {https://doi.org/10.1145/3583780.3614787}
}