Low Rank Fusion based Transformers for Multimodal Sequences-Reference-Cited by-同舟云学术

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Low Rank Fusion based Transformers for Multimodal Sequences

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Second Grand-Challenge and Workshop on Multimodal Language (Challenge-HML)
language:
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Author:

Sahay Saurav,Okur Eda,H Kumar shachi,Nachman Lama

Publisher

Association for Computational Linguistics

Cited by 31 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. Multimodal Sentiment Analysis via Low-Rank Tensor Attention Network with Unimodal Self-Supervised Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Collaborative Analysis of Learners’ Emotional States Based on Cross-Modal Higher-Order Reasoning;Applied Sciences;2024-06-25

3. Progressive Fusion Network with Mixture of Experts for Multimodal Sentiment Analysis;2024 16th International Conference on Advanced Computational Intelligence (ICACI);2024-05-16

4. Multi-Feature Fusion Multi-Modal Sentiment Analysis Model Based on Cross-Attention Mechanism;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25

5. Research on the application of English short essay reading emotional analysis in online English teaching under IoT scenario;Internet Technology Letters;2024-04-24

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