RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models.

Pengkun Jiao|Xinlan Wu|Bin Zhu|Jingjing Chen|Chong-Wah Ngo|Yu-Gang Jiang


Anthology ID:DBLP:conf/mir/JiaoWZCNJ26
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:2457-2466
URL:https://doi.org/10.1145/3805622.3810616
DOI:https://doi.org/10.1145/3805622.3810616
DBLP:conf/mir/JiaoWZCNJ26
BibTeX:
@inproceedings{jiao-2026-rode, author = {Pengkun Jiao and Xinlan Wu and Bin Zhu and Jingjing Chen and Chong-Wah Ngo and Yu-Gang Jiang}, editor = {Stevan Rudinac and Zi Huang and Marcel Worring and Lucia Vadicamo and Xirong Li and Pascal Mettes and Lizi Liao}, title = {{RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models}}, booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}}, pages = {2457--2466}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805622.3810616}, doi = {https://doi.org/10.1145/3805622.3810616} }