2D CNN vs 3D CNN: An Empirical Study on Deep Learning-based Facial Emotion Recognition-Reference-Cited by-同舟云学术

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2D CNN vs 3D CNN: An Empirical Study on Deep Learning-based Facial Emotion Recognition

Published:2023-12-07 Issue: Volume: Page:138-143
ISSN:
Container-title:2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom)
language:
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Author:

Dhoot Arav¹,Hadj-Alouane N. Ben²,Turki-Hadj Alouane M.³

Affiliation:

1. Intern American University in Dubai,EECE Department

2. American University in Dubai,EECE Department

3. King Khalid University,College of Computer Science,Abha,Saudi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10458705/10458718/10458797.pdf?arnumber=10458797

Reference29 articles.

1. Hierarchical Attention-Based Multimodal Fusion Network for Video Emotion Recognition

2. Experimenting with Distant Supervision for Emotion Classification;Purver

3. Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification

4. Analysis of Anxious Word Usage on Online Health Forums

5. Emotion Detection from Speech to Enrich Multimedia Content

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Representation Joint Dynamic Domain Adaptation Network for Cross-Database Facial Expression Recognition;Electronics;2024-04-12

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