An Energy-Efficient Multimodal Retrieval Framework for Inference on Heterogeneous Edge Nodes.
Junfeng Fang|Yan Zhang|Mingyu Liu|Zhaoxi Feng|Manzhou Li|Yan Li
| Anthology ID: | DBLP:conf/mir/FangZLFLL26 |
|---|---|
| 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: | 1716-1720 |
| URL: | https://doi.org/10.1145/3805622.3810715 |
| DOI: | https://doi.org/10.1145/3805622.3810715 |
| DBLP: | conf/mir/FangZLFLL26 |
| BibTeX: |
@inproceedings{fang-2026-energyefficient,
author = {Junfeng Fang and
Yan Zhang and
Mingyu Liu and
Zhaoxi Feng and
Manzhou Li and
Yan Li},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{An Energy-Efficient Multimodal Retrieval Framework for Inference on Heterogeneous Edge Nodes}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {1716--1720},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810715},
doi = {https://doi.org/10.1145/3805622.3810715}
}