Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion.
Jianfeng Dong|Junwei Zhu|Daizong Liu|Xiaoye Qu|Cuizhu Bao|Zhike Han|Jixiang Zhu|Xun Wang
| Anthology ID: | DBLP:conf/sigir/DongZLQBHZ025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 223-232 |
| URL: | https://doi.org/10.1145/3726302.3730050 |
| DOI: | https://doi.org/10.1145/3726302.3730050 |
| DBLP: | conf/sigir/DongZLQBHZ025 |
| BibTeX: |
@inproceedings{dong-2025-openworld,
author = {Jianfeng Dong and
Junwei Zhu and
Daizong Liu and
Xiaoye Qu and
Cuizhu Bao and
Zhike Han and
Jixiang Zhu and
Xun Wang},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {223--232},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730050},
doi = {https://doi.org/10.1145/3726302.3730050}
}