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} }