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Extended deep neural network for facial emotion recognition

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References

2016Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order800 cited
2018A Brief Review of Facial Emotion Recognition Based on Visual Information726 cited
2014Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition685 cited
2018Spatial–Temporal Recurrent Neural Network for Emotion Recognition595 cited
2015EmoNets: Multimodal deep learning approaches for emotion recognition in video413 cited

Cited by

2021A survey on facial emotion recognition techniques: A state-of-the-art literature review350 cited
2020Facial emotion recognition using deep learning: review and insights341 cited
2023Emotion recognition from unimodal to multimodal analysis: A review192 cited
2022Automated emotion recognition: Current trends and future perspectives172 cited
2020Deep convolution network based emotion analysis towards mental health care169 cited
2021FER-net: facial expression recognition using deep neural net155 cited
2021Facial Emotion Recognition: State of the Art Performance on FER2013155 cited
2020Locally robust EEG feature selection for individual-independent emotion recognition112 cited
2021Emotion Recognition for Cognitive Edge Computing Using Deep Learning

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2023Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition107 cited

2021CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit104 cited

2019Facial Expression Recognition using Convolutional Neural Network with Data Augmentation102 cited

2019Facial expression recognition based on deep convolution long short-term memory networks of double-channel weighted mixture88 cited

2023Digitalization of the agro-food sector for achieving sustainable development goals: a review85 cited

20193D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review82 cited

2021A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis80 cited