The impact of different facial expression intensities on the performance of pre-trained emotion recognition models-Reference-Cited by-同舟云学术

The impact of different facial expression intensities on the performance of pre-trained emotion recognition models

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
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Author:

de Araujo Hermon Faria¹,Nunes Fátima L. S.¹,Machado-Lima Ariane¹

Affiliation:

1. Universidade de São Paulo, São Paulo, SP, Brasil

Funder

CAPES (Brazilian Federal Agency for Post-Graduation Education)

FAPESP

Brazilian National Council of Scientific and Technological Development (CNPq)

Sao Paulo Research Foundation (FAPESP) - National Institute of Science and Technology - Medicine

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477314.3507268

Reference50 articles.

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2. Influence of environmental conditions in the performance of open-source software for facial expression recognition

3. Octavio Arriaga . 2021 . (PAZ) Perception for Autonomous Systems . Retrieved Sep 10, 2021 from https://github.com/oarriaga/paz Octavio Arriaga. 2021. (PAZ) Perception for Autonomous Systems. Retrieved Sep 10, 2021 from https://github.com/oarriaga/paz

4. Octavio Arriaga Matias Valdenegro-Toro Mohandass Muthuraja Sushma Devaramani and Frank Kirchner. 2020. Perception for Autonomous Systems (PAZ). arXiv:cs.CV/2010.14541 Octavio Arriaga Matias Valdenegro-Toro Mohandass Muthuraja Sushma Devaramani and Frank Kirchner. 2020. Perception for Autonomous Systems (PAZ). arXiv:cs.CV/2010.14541

5. Automatic detection of student affective states in classroom environment using hybrid convolutional neural networks;Guddeti S.;Education and Information Technologies,2019

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