Facial Expression Recognition Using Light Field Cameras: A Comparative Study of Deep Learning Architectures-Reference-Cited by-同舟云学术

Facial Expression Recognition Using Light Field Cameras: A Comparative Study of Deep Learning Architectures

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
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Author:

Oucherif Sabrine Djedjiga¹,Motasem Nawaf Mohamad²,Boï Jean-Marc²,Nicod Lionel³,Merad Djamal²,Dubuisson Séverine²

Affiliation:

1. Aix-Marseille University,CNRS, IMM,Marseille,France

2. Aix-Marseille University,CNRS, LIS,Marseille,France

3. Aix-Marseille University,CNRS, CERGAM,Marseille,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10223071.pdf?arnumber=10223071

Reference24 articles.

1. Facial expression recognition based on deep learning

2. D, dansereau, light field toolbox v. 05,0

3. The IST-EURECOM Light Field Face Database

4. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time;wortsman;International Conference on Machine Learning,2022

5. A Double-Deep Spatio-Angular Learning Framework for Light Field-Based Face Recognition

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1. Enhancing Facial Expression Recognition through Light Field Cameras;Sensors;2024-09-03

2. Facial Emotion Recognition in Unconstrained Environments through Rank-Based Ensemble of Deep Learning Models using 1-Cycle Policy;2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM);2023-11-28