Enhancing Video Based Emotion Recognition with Multi-Head Attention and Modality Dropout

Multimodal emotion recognition has become a critical component in enhancing human-computer interaction systems due to its capacity to integrate multiple modalities. In this paper, a novel cross-modal fusion model CFNSR-MSAFNet was proposed with Multi-Head Attention mechanism and modality drop out to

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354608
Primary Topic
Emotion and Mood Recognition
Type
article
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article

Enhancing Video Based Emotion Recognition with Multi-Head Attention and Modality Dropout

Xu Li
Emotion and Mood Recognition
article

Enhancing Video Based Emotion Recognition with Multi-Head Attention and Modality Dropout

Xu Li
article en

Abstract

Multimodal emotion recognition has become a critical component in enhancing human-computer interaction systems due to its capacity to integrate multiple modalities. In this paper, a novel cross-modal fusion model CFNSR-MSAFNet was proposed with Multi-Head Attention mechanism and modality drop out to

Openalex Percentile: Top 95%
Emotion and Mood Recognition
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Enhancing Video Based Emotion Recognition with Multi-Head Attention and Modality Dropout — Xu Li · (2025) | TGRS Research Map | TGRS