Comparison on the CMU-MOSEI dataset.

<div><p>Multimodal emotion recognition leverages multiple modalities to capture emotional cues more comprehensively, thereby improving the accuracy and robustness of emotion recognition. From the perspective of multimodal data and feature learning, reducing information redundancy in mult...

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Bibliographic Details
Main Author:	Yuanyuan Lu (815094) (author)
Other Authors:	Hao Feng (54208) (author)
Published:	2025
Subjects:	Sociology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified several related methods reducing information redundancy order transformer network fully capture non capture emotional cues redundant feature representations deep feature co highly discriminative high sparse high adaptive high feature learning thereby improving parameter analyses paper proposes multimodal data experimental results emotion recognition ahot ). ablation studies
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Comparison on the CMU-MOSEI dataset.

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