Fashion compatibility using convolutional neural networks-Reference-Cited by-同舟云学术

Fashion compatibility using convolutional neural networks

Published:2020-10 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Kavitha K.,Laxman Kumar S.,Pravalika Pudu,Sruthi Kotte,Lalitha R.V.S.^ORCID,Krishna Rao N.V.

Publisher

Elsevier BV

Subject

General Medicine

Reference10 articles.

1. Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data;Li;IEEE Trans. Multimedia,2017

2. An intelligent personalized fashion recommendation system;Stan,2019

3. Chen, Long, and Yuhang He. “Dress fashionably: Learn fashion collocation with deep mixed-category metric learning.” InThirty-Second AAAI Conference on Artificial Intelligence. 2018.

4. Multi-modal joint embedding for fashion product retrieval;Rubio,2017

5. DeepFashion: Powering robust clothes recognition and retrieval with rich annotations;Liu,2016

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