FgbCNN: A unified bilinear architecture for learning a fine-grained feature representation in facial expression recognition-Reference-Cited by-同舟云学术

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FgbCNN: A unified bilinear architecture for learning a fine-grained feature representation in facial expression recognition

Published:2023-09 Issue: Volume:137 Page:104770
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Shabbir Nazir,Rout Ranjeet Kumar

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference67 articles.

1. Going deeper in facial expression recognition using deep neural networks;Mollahosseini,2016

2. Multimodal human–computer interaction: A survey;Jaimes;Comput. Vis. Image Underst.,2007

3. Deep facial expression recognition: A survey;Li;IEEE Trans. Affect. Comput.,2020

4. Constants across cultures in the face and emotion;Ekman;J. Pers. Soc. Psychol.,1971

Cited by 3 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. Systematic Review of Emotion Detection with Computer Vision and Deep Learning;Sensors;2024-05-28

2. BPMB: BayesCNNs with perturbed multi-branch structure for robust facial expression recognition;Image and Vision Computing;2024-03

3. Self-Training: A Survey;2024

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