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Facial Expression Recognition using Convolutional Neural Network with Data Augmentation
6 references·1 citing·30 second hop
Facial Expression Recognition using Convolutional Neural Network with Data Augmentation (2019)Facial Expression Recognition using Convo…Extended deep neural network for facial emotion recognition (2019)Extended deep neural network …Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)Reliable Crowdsourcing and De…Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 (2017)Deep Learning Approaches for …The MUG facial expression database (2010)The MUG facial expression dat…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…An Integrated Real-Time Deep Learning and Belief Rule Base Intelligent System to Assess Facial Expression Under Uncertainty (2020)An Integrated Real-Time Deep …Facial Action Coding System (1978)Comprehensive database for facial expression analysis (2002)Facial Expression Recognition in the Encrypted Domain Based on Local Fisher Discriminant Analysis (2012)Micro-attention for micro-expression recognition (2020)Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey (2023)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Affective Computing (1997)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)The Cognitive Structure of Emotions (1988)Basic Emotions (1999)Going deeper in facial expression recognition using deep neural networks (2016)Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network (2021)Facial Emotion Recognition: State of the Art Performance on FER2013 (2021)Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity (2022)The expression of the emotions in man and animals. (1872)Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion (2021)Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild (2021)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2014)Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)Facial emotion recognition using deep learning: review and insights (2020)A survey on facial emotion recognition techniques: A state-of-the-art literature review (2021)Emotion recognition from unimodal to multimodal analysis: A review (2023)Facial expression recognition via learning deep sparse autoencoders (2017)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Deep Facial Expression Recognition: A Survey (2020)
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References

  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2018Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition663 cited
  • 2019Extended deep neural network for facial emotion recognition401 cited
  • 2010The MUG facial expression database304 cited
  • 2017Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013194 cited

Cited by

  • 2020An Integrated Real-Time Deep Learning and Belief Rule Base Intelligent System to Assess Facial Expression Under Uncertainty46 cited

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