Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning-Reference-Cited by-同舟云学术

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Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning

Published:2024-06-30 Issue: Volume:2 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Lai Songning¹,Li Jiakang²,Guo Guinan³,Hu Xifeng¹,Li Yulong⁴,Tan Yuan²,Song Zichen²,Liu Yutong⁵,Ren Zhaoxia⁶,Wang Chun⁶,Miao Danmin⁴,Liu Zhi¹

Affiliation:

1. Shandong University,School of Information Science and Engineering,Qingdao,China

2. Lanzhou University,School of Information Science and Engineering,Lanzhou,China

3. Sun Yat-sen University,Geography and Planning,Guangzhou,China

4. Air Force Medical University,Department of Military Medical Psychology,Xi’an,China

5. National University of Singapore,Singapore

6. Shandong University,Assets and Laboratory Management Department,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651442.pdf?arnumber=10651442

Reference63 articles.

1. Faithful vision-language interpretation via concept bottleneck models;Lai

2. Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks

3. Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering

4. Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery

5. Adaptive Multi-Feature Fusion Graph Convolutional Network for Hyperspectral Image Classification

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