SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Emotion Classification with Data Augmentation Using Generative Adversarial Networks
3 references·8 citing·48 second hop
Emotion Classification with Data Augmentation Using Generative Adversarial Networks (2018)Emotion Classification with Data Augmenta…Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)Image based Static Facial Exp…Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning (2015)Deep Learning for Emotion Rec…Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark (2011)Static facial expression anal…Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations (2024)Deep Imbalanced Learning for …Data Augmentation for Audio-Visual Emotion Recognition with an Efficient Multimodal Conditional GAN (2022)Data Augmentation for Audio-V…Facial Expression Recognition: A Review of Trends and Techniques (2021)Facial Expression Recognition…eXnet: An Efficient Approach for Emotion Recognition in the Wild (2020)eXnet: An Efficient Approach …Deep neural network augmentation: generating faces for affect analysis (2020)Deep neural network augmentat…Data augmentation for enhancing EEG-based emotion recognition with deep generative models (2020)Data augmentation for enhanci…Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being (2020)Beyond Mobile Apps: A Survey …Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG) (2019)Improving Cross-Corpus Speech…Web-Based Database for Facial Expression Analysis (2005)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Facial Expression Recognition with Inconsistently Annotated Datasets (2018)A survey on facial emotion recognition techniques: A state-of-the-art literature review (2021)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition (2017)Identity-Aware Convolutional Neural Network for Facial Expression Recognition (2017)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2014)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)Deep learning-based facial emotion recognition for human–computer interaction applications (2021)Core affect and the psychological construction of emotion. (2003)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)A Review of Generalizable Transfer Learning in Automatic Emotion Recognition (2020)Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models (2022)Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition (2022)Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)Extended deep neural network for facial emotion recognition (2019)DRER: Deep Learning–Based Driver’s Real Emotion Recognizer (2021)Dual integrated convolutional neural network for real-time facial expression recognition in the wild (2021)Driver Emotions Recognition Based on Improved Faster R-CNN and Neural Architectural Search Network (2022)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)ABAW: Learning from Synthetic Data & Multi-task Learning Challenges (2023)Hierarchical attention network with progressive feature fusion for facial expression recognition (2023)Multi-Label Compound Expression Recognition: C-EXPR Database & Network (2023)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition (2022)Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French People (2022)Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review (2024)Constants across cultures in the face and emotion. (1971)Comprehensive database for facial expression analysis (2002)Facial emotion recognition: A comprehensive review (2024)Use of Digital Technology in Integrated Mathematics Education (2024)Emotion recognition in human-computer interaction (2001)A review of affective computing: From unimodal analysis to multimodal fusion (2017)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)The effect of digital fashion visual symbol perception on consumer repurchase intention: a moderated chain mediation model (2023)Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects (2024)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for incomplete multimodal learning in conversational emotion recognition (2024)
this work references cited by second hop

References

  • 2015Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning657 cited
  • 2015Image based Static Facial Expression Recognition with Multiple Deep Network Learning602 cited
  • 2011Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark541 cited

Cited by

  • 2020Data augmentation for enhancing EEG-based emotion recognition with deep generative models162 cited
  • 2019Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)128 cited
  • 2020Deep neural network augmentation: generating faces for affect analysis93 cited
  • 2021Facial Expression Recognition: A Review of Trends and Techniques81 cited
  • 2024Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations74 cited
  • 2020eXnet: An Efficient Approach for Emotion Recognition in the Wild72 cited
  • 2022Data Augmentation for Audio-Visual Emotion Recognition with an Efficient Multimodal Conditional GAN68 cited
  • 2020Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being18 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work