RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval.
Junsong Wang|Weiqing Min|Guorui Sheng|Tao Yao|Lili Wang|Shuqiang Jiang
| Anthology ID: | DBLP:conf/mir/WangMSYWJ26 |
|---|---|
| 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: | 177-185 |
| URL: | https://doi.org/10.1145/3805622.3810838 |
| DOI: | https://doi.org/10.1145/3805622.3810838 |
| DBLP: | conf/mir/WangMSYWJ26 |
| BibTeX: |
@inproceedings{wang-2026-rfhnet,
author = {Junsong Wang and
Weiqing Min and
Guorui Sheng and
Tao Yao and
Lili Wang and
Shuqiang Jiang},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {177--185},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810838},
doi = {https://doi.org/10.1145/3805622.3810838}
}