Multi-Label Multimodal Emotion Recognition With Transformer-Based Fusion and Emotion-Level Representation Learning

Author:

Le Hoai-Duy1,Lee Guee-Sang1ORCID,Kim Soo-Hyung1ORCID,Kim Seungwon1,Yang Hyung-Jeong1ORCID

Affiliation:

1. Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, South Korea

Funder

National Research Foundation of Korea

Korea Government

BK21 Fostering Outstanding Universities for Research

Ministry of Education (MOE), South Korea

NRF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference34 articles.

1. Modality-transferable emotion embeddings for low-resource multimodal emotion recognition;dai;arXiv 2009 09629,2020

2. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

3. SGDR: Stochastic gradient descent with warm restarts;loshchilov;arXiv 1608 03983,2016

4. Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

5. MISA

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