Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning-Reference-Cited by-同舟云学术

Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning

Published:2022-10-10 Issue: Volume: Page:
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Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Wang Yabing¹,Dong Jianfeng¹,Liang Tianxiang¹,Zhang Minsong¹,Cai Rui¹,Wang Xun¹

Affiliation:

1. Zhejiang Gongshang University, Hangzhou, China

Funder

National Key R&D Program of China

the Public Welfare Technology Research Project of Zhejiang Province

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548003

Reference90 articles.

1. Pranav Aggarwal and Ajinkya Kale . 2020. Towards zero-shot Cross-lingual Image retrieval. arXiv preprint arXiv:2012.05107 ( 2020 ). Pranav Aggarwal and Ajinkya Kale. 2020. Towards zero-shot Cross-lingual Image retrieval. arXiv preprint arXiv:2012.05107 (2020).

2. Video and Text Matching with Conditioned Embeddings

3. Compositional Learning of Image-Text Query for Image Retrieval

4. Mikel Artetxe , Gorka Labaka , Eneko Agirre , and Kyunghyun Cho . 2017 . Unsupervised neural machine translation . In Proceedings of the Sixth International Conference on Learning Representations. Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017. Unsupervised neural machine translation. In Proceedings of the Sixth International Conference on Learning Representations.

5. Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

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