Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback-Reference-Cited by-同舟云学术

Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Yuan Yifei¹,Lam Wai¹

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong, Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462881

Reference46 articles.

1. Fashion Forward: Forecasting Visual Style in Fashion

2. VQA: Visual Question Answering

3. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2016. Neural Machine Translation by Jointly Learning to Align and Translate. arXiv:1409.0473 [cs.CL] Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2016. Neural Machine Translation by Jointly Learning to Align and Translate. arXiv:1409.0473 [cs.CL]

4. Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv Preprint arXiv:1412.3555(2014). Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv Preprint arXiv:1412.3555(2014).

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