Dynamic interaction networks for image-text multimodal learning-Reference-Cited by-同舟云学术

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Dynamic interaction networks for image-text multimodal learning

Published:2020-02 Issue: Volume:379 Page:262-272
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Wenshan,Liu Pengfei,Yang Su^ORCID,Zhang Weishan

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference25 articles.

1. Multimodal machine learning: a survey and taxonomy;Baltruaitis;IEEE Trans. Pattern Anal. Mach. Intell.,2019

2. Show, attend and tell: Neural image caption generation with visual attention;Xu,2015

3. Vqa: visual question answering;Antol,2015

4. Learning deep representations of fine-grained visual descriptions;Reed,2016

5. Stacked attention networks for image question answering;Yang,2016

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1. Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-05-10

2. Multi-modal anchor adaptation learning for multi-modal summarization;Neurocomputing;2024-02

3. Generic Multimodal Gradient-based Meta Learner Framework;2023 26th International Conference on Information Fusion (FUSION);2023-06-28

4. The usability of eye tracking in the design of digital training materials;Procedia Computer Science;2022

5. New Ideas and Trends in Deep Multimodal Content Understanding: A Review;Neurocomputing;2021-02

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