Facial Expression Recognition: Deep Survey, Progression and Future Perspective-Reference-Cited by-同舟云学术

Facial Expression Recognition: Deep Survey, Progression and Future Perspective

Published:2023-05-05 Issue: Volume: Page:
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Container-title:2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Grover Richa¹,Bansal Sandhya¹

Affiliation:

1. MMEC, MMU,Computer Science and Engineering,Mullana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10141668/10141583/10141843.pdf?arnumber=10141843

Reference51 articles.

1. Classroom Teaching Evaluation Based on Facial Expression Recognition

2. Fast Facial emotion recognition Using Convolutional Neural Networks and Gabor Filters;mohammad;2019 5th Conference on Knowledge Based Engineering and Innovation,2019

3. Facial Expression Recognition Using Computer Vision: A Systematic Review

4. Recognition of Teachers’ Facial Expression Intensity Based on Convolutional Neural Network and Attention Mechanism

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