@inbook{2195ba794b414bc5b93f3b003c5d3cee,
title = "Supervised Disentangled Graph Learning for OCM",
abstract = "In Chap. 4, we studied the fine-grained outfit compatibility modeling, where the hidden factors affecting the outfit compatibility are jointly considered. One key limitation is that it only investigates the visual content of fashion items while overlooking the items{\textquoteright} semantic attributes. The item attribute labels usually contain rich information that characterizes the key item parts, which can be adopted to supervise the attribute-level representation learning, and hence promote the model{\textquoteright}s performance as well as interpretability. Thus, in this chapter, we aim to fulfill the fine-grained outfit compatibility modeling by incorporating the semantic attributes of fashion items.",
author = "Weili Guan and Xuemeng Song and Xiaojun Chang and Liqiang Nie",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2022",
doi = "10.1007/978-3-031-18817-6\_5",
language = "英语",
series = "Synthesis Lectures on Information Concepts, Retrieval, and Services",
publisher = "Springer Nature",
pages = "67--87",
booktitle = "Synthesis Lectures on Information Concepts, Retrieval, and Services",
}