Graph Learning for Fashion Compatibility Modeling
- Publisher:
- Springer Nature
- Publication Type:
- Book
- Citation:
- 2022, 2, pp. 1-112
- Issue Date:
- 2022
Closed Access
Filename | Description | Size | |||
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1 - 2023-03-30T063851.706.pdf | Published version | 135.25 kB |
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Presents state-of-the-art theories to illustrate more challenging outfit compatibility modeling scenarios
Discusses graph-learning based outfit compatibility models, which have been proven effective over real-world datasets
Introduces fashion compatibility modeling to automatically justify the matching degree of complementary fashion items
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