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An efficient deep learning technique for facial emotion recognition
8 references·3 citing·43 second hop
An efficient deep learning technique for facial emotion recognition (2021)An efficient deep learning technique for …Facial emotion recognition using deep learning: review and insights (2020)Facial emotion recognition us…Real Time Emotion Recognition from Facial Expressions Using CNN Architecture (2019)Real Time Emotion Recognition…Emotion recognition using deep learning approach from audio–visual emotional big data (2018)Emotion recognition using dee…Dominant and Complementary Emotion Recognition From Still Images of Faces (2018)Dominant and Complementary Em…Audiovisual emotion recognition in wild (2018)Audiovisual emotion recogniti…Automatic facial expression recognition based on a deep convolutional-neural-network structure (2017)Automatic facial expression r…Facial Expression Recognition (2011)Facial Expression RecognitionComprehensive database for facial expression analysis (2002)Comprehensive database for fa…Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures (2024)Enhancing Multimodal Emotion …New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review (2023)New Trends in Emotion Recogni…DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet18 (2023)DTL-I-ResNet18: facial emotio…The expression of the emotions in man and animals. (1872)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Face expression recognition with a 2-channel Convolutional Neural Network (2015)Enhancing CNN with Preprocessing Stage in Automatic Emotion Recognition (2017)Audio-visual emotion fusion (AVEF): A deep efficient weighted approach (2018)Facial Action Coding System (1978)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Constants across cultures in the face and emotion. (1971)Affective Computing (1997)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Deploying Machine Learning Techniques for Human Emotion Detection (2022)Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity (2022)A novel facial emotion recognition model using segmentation VGG-19 architecture (2023)Are there basic emotions? (1992)Cognitive neuroscience of human social behaviour (2003)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Multimodal Emotion Recognition Based on Ensemble Convolutional Neural Network (2019)A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States (2022)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Feature Extraction and Selection for Emotion Recognition from EEG (2014)3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques (2020)Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition (2021)A database of German emotional speech (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)Affective Image Content Analysis: Two Decades Review and New Perspectives (2021)Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities (2022)What is emotion? (2002)Feeling, Emotion, Affect (2005)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Facial emotion recognition methods, datasets and technologies: A literature survey (2021)A deep-learning-based facial expression recognition method using textural features (2022)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Emotion recognition in EEG signals using deep learning methods: A review (2023)Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People (2023)Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets (2024)Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)A study on expression recognition based on improved mobilenetV2 network (2024)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Enhancing Facial Expression Recognition System in Online Learning Context Using Efficient Deep Learning Model (2023)Systematic Review of Emotion Detection with Computer Vision and Deep Learning (2024)
this work references cited by second hop

References

  • 2002Comprehensive database for facial expression analysis2,612 cited
  • 2018Emotion recognition using deep learning approach from audio–visual emotional big data454 cited
  • 2020Facial emotion recognition using deep learning: review and insights341 cited
  • 2011Facial Expression Recognition266 cited
  • 2018Audiovisual emotion recognition in wild161 cited
  • 2017Automatic facial expression recognition based on a deep convolutional-neural-network structure134 cited
  • 2019Real Time Emotion Recognition from Facial Expressions Using CNN Architecture118 cited
  • 2018Dominant and Complementary Emotion Recognition From Still Images of Faces115 cited

Cited by

  • 2023New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review71 cited
  • 2023DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet1855 cited
  • 2024Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures49 cited

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