Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation-Reference-Cited by-同舟云学术

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Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation

Published:2024 Issue: Volume:26 Page:9036-9046
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Sun Teng¹^ORCID,Wei Yinwei²^ORCID,Ni Juntong¹^ORCID,Liu Zixin³^ORCID,Song Xuemeng¹^ORCID,Wang Yaowei³^ORCID,Nie Liqiang⁴^ORCID

Affiliation:

1. Department of Computer Science and Technology, Shandong University, Qingdao, China

2. School of Computing, National University of Singapore, Singapore

3. Peng Cheng Laboratory, Shenzhen, China

4. School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10491325.pdf?arnumber=10491325

Reference46 articles.

1. Multi-modal emotion recognition on IEMOCAP dataset using deep learning;Tripathi,2018

2. Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions

3. Multimodal Transformer for Unaligned Multimodal Language Sequences

4. Multimodal End-to-End Sparse Model for Emotion Recognition

5. What Makes Training Multi-Modal Classification Networks Hard?

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