CodeMNER: Vision-Language Models are Better Multimodal Named Entity Recognizers via Progressive Vision-Code Alignment.
Jiakang Yu|Shizhou Huang|Xiaode Chen|Hongtao Deng|Wang Gao|Xun Zhu
| Anthology ID: | DBLP:conf/mir/YuHCDGZ26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 497-505 |
| URL: | https://doi.org/10.1145/3805622.3810770 |
| DOI: | https://doi.org/10.1145/3805622.3810770 |
| DBLP: | conf/mir/YuHCDGZ26 |
| BibTeX: |
@inproceedings{yu-2026-codemner,
author = {Jiakang Yu and
Shizhou Huang and
Xiaode Chen and
Hongtao Deng and
Wang Gao and
Xun Zhu},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{CodeMNER: Vision-Language Models are Better Multimodal Named Entity Recognizers via Progressive Vision-Code Alignment}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {497--505},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810770},
doi = {https://doi.org/10.1145/3805622.3810770}
}