CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation-Reference-Cited by-同舟云学术

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CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Gupta Devaansh¹,Kharbanda Siddhant²,Zhou Jiawei³,Li Wanhua³,Pfister Hanspeter³,Wei Donglai¹

Affiliation:

1. Boston College

2. Microsoft India

3. Harvard University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377321.pdf?arnumber=10377321

Reference75 articles.

1. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

2. Vlmo: Unified vision-language pre-training with mixture-of-modality-experts;Bao,2021

3. Findings of the Third Shared Task on Multimodal Machine Translation

4. LIUM-CVC Submissions for WMT18 Multimodal Translation Task

5. Probing the Need for Visual Context in Multimodal Machine Translation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dose multimodal machine translation can improve translation performance?;Neural Computing and Applications;2024-04-29

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