Recommending Outfits from Personal Closet

Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani

研究成果: Conference contribution

8 引用 (Scopus)

抜粋

We consider the outfit grading problem for outfit recommendation, where we assume that users have a closet of items and we aim at producing a score for an arbitrary combination of items in the closet. The challenge in outfit grading is that the input to the system is a bag of item pictures that are unordered and vary in size. We build a deep neural network-based system that can take variable-length items and predict a score. We collect a large number of outfits from a popular fashion sharing website, Polyvore, and evaluate the performance of our grading system. We compare our model with a random-choice baseline. The performance of our model achieves 84% in both accuracy and precision, showing our model can reliably grade the quality of an outfit. We also built an outfit recommender on top of our grader to demonstrate the practical application of our model for a personal closet assistant.

元の言語English
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ページ2275-2279
ページ数5
ISBN(電子版)9781538610343
DOI
出版物ステータスPublished - 2017 7 1
イベント16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - Venice, Italy
継続期間: 2017 10 222017 10 29

出版物シリーズ

名前Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
2018-January

Other

Other16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017
Italy
Venice
期間17/10/2217/10/29

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • これを引用

    Tangseng, P., Yamaguchi, K., & Okatani, T. (2017). Recommending Outfits from Personal Closet. : Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 (pp. 2275-2279). (Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017; 巻数 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2017.267