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Facial Expression Recognition of Industrial Internet of Things by Parallel Neural Networks Combining Texture Features

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References

2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
2016Going deeper in facial expression recognition using deep neural networks1,132 cited
2016Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order800 cited
2015Image based Static Facial Expression Recognition with Multiple Deep Network Learning602 cited
2017FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition416 cited
2019LEARNet: Dynamic Imaging Network for Micro Expression Recognition157 cited

Cited by

2022A Fast CPU Real-Time Facial Expression Detector Using Sequential Attention Network for Human–Robot Interaction60 cited
2022A deep-learning-based facial expression recognition method using textural features54 cited
2023Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition44 cited
2023Efficient Facial Expression Recognition With Representation Reinforcement Network and Transfer Self-Training for Human–Machine Interaction41 cited
2023Facial Expression Recognition in-the-Wild Using Blended Feature Attention Network40 cited
2023CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network32 cited

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