A Dual Branch Network for Emotional Reaction Intensity Estimation

• URL: http://arxiv.org/abs/2303.09210v1
• Date: Thu, 16 Mar 2023 10:31:40 GMT
• Title: A Dual Branch Network for Emotional Reaction Intensity Estimation
• Authors: Jun Yu, Jichao Zhu, Wangyuan Zhu, Zhongpeng Cai, Guochen Xie, Renda Li, Gongpeng Zhao
• Abstract summary: We propose a solution to the ERI challenge of the fifth Affective Behavior Analysis in-the-wild(ABAW), a dual-branch based multi-output regression model. The spatial attention is used to better extract visual features, and the Mel-Frequency Cepstral Coefficients technology extracts acoustic features. Our method achieves excellent results on the official validation set.
• Score: 12.677143408225167
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Emotional Reaction Intensity(ERI) estimation is an important task in multimodal scenarios, and has fundamental applications in medicine, safe driving and other fields. In this paper, we propose a solution to the ERI challenge of the fifth Affective Behavior Analysis in-the-wild(ABAW), a dual-branch based multi-output regression model. The spatial attention is used to better extract visual features, and the Mel-Frequency Cepstral Coefficients technology extracts acoustic features, and a method named modality dropout is added to fusion multimodal features. Our method achieves excellent results on the official validation set.

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