Reproducibility Companion Paper: Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility-Reference-Cited by-同舟云学术

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Reproducibility Companion Paper: Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility

Published:2024-05-30 Issue: Volume: Page:1224-1227
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
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Author:

Liao Shuiying¹^ORCID,Ding Yujuan¹^ORCID,Mok P. Y.²^ORCID,Huang Qiushi³^ORCID,Cao Jialun⁴^ORCID

Affiliation:

1. The Hong Kong Polytechnic University, Hong Kong, Hong Kong

2. The Hong Kong Polytechnic University & Laboratory for Artificial Intelligence in Design, Hong Kong, Hong Kong

3. University of Surrey, Guildford, United Kingdom

4. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

Funder

Innovation and Technology Commission of Hong Kong

Laboratory for Artificial Intelligence in Design

National Natural Science Foundation of China

Jiangsu Province Natural Science Foundation for Young Scholars

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658371

Reference7 articles.

1. Deep Residual Learning for Image Recognition

2. Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014).

3. ImageNet classification with deep convolutional neural networks

4. Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility

5. Learning Binary Code for Personalized Fashion Recommendation

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