mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections-Reference-Cited by-同舟云学术

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mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Author:

Li Chenliang,Xu Haiyang,Tian Junfeng,Wang Wei,Yan Ming,Bi Bin,Ye Jiabo,Chen He,Xu Guohai,Cao Zheng,Zhang Ji,Huang Songfang,Huang Fei,Zhou Jingren,Si Luo

Publisher

Association for Computational Linguistics

Cited by 39 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. LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

2. Advancements in Multimodal Social Media Post Summarization: Integrating GPT-4 for Enhanced Understanding;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. Understanding remote sensing imagery like reading a text document: What can remote sensing image captioning offer?;International Journal of Applied Earth Observation and Geoinformation;2024-07

4. Visionary: vision-aware enhancement with reminding scenes generated by captions via multimodal transformer for embodied referring expression;The Visual Computer;2024-05-30

5. Clustering swap prediction for image-text pre-training;Scientific Reports;2024-05-24

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