CGI-MRE: A Comprehensive Genetic-Inspired Model For Multimodal Relation Extraction.
Pengfei Wei|Zhaokang Huang|Hongjun Ouyang|Qintai Hu|Bi Zeng|Guang Feng
| Anthology ID: | DBLP:conf/mir/WeiHOHZF24 |
|---|---|
| Volume: | Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 524-532 |
| URL: | https://doi.org/10.1145/3652583.3658103 |
| DOI: | https://doi.org/10.1145/3652583.3658103 |
| DBLP: | conf/mir/WeiHOHZF24 |
| BibTeX: |
@inproceedings{wei-2024-cgimre,
author = {Pengfei Wei and
Zhaokang Huang and
Hongjun Ouyang and
Qintai Hu and
Bi Zeng and
Guang Feng},
editor = {Cathal Gurrin and
Rachada Kongkachandra and
Klaus Sch\"{o}ffmann and
Duc-Tien Dang-Nguyen and
Luca Rossetto and
Shin'ichi Satoh and
Liting Zhou},
title = {{CGI-MRE: A Comprehensive Genetic-Inspired Model For Multimodal Relation Extraction}},
booktitle = {{Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024}},
pages = {524--532},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3652583.3658103},
doi = {https://doi.org/10.1145/3652583.3658103}
}