Discussions of different deep transfer learning models for emotion recognitions

In recent years, facial emotion recognition (FER) has been a popular topic in affective computing. However, FER still faces many challenges in automatic recognition for several reasons, including quality control of sample data, extraction of effective features, creation of models, and multi-feature...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.1-1
Hauptverfasser:	Yen, Chih-Ta, Li, Kang-Hua
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Affective computing AffectNet convolutional neural network Convolutional neural networks Data models Datasets Deep learning Emotion recognition Emotions facial emotion recognition (FER) Feature extraction FER2013 fine-tuning Machine learning Model accuracy pretrained models Quality control Task analysis Training Transfer learning
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