Facial emotion recognition with inter-modality-attention-transformer-based self-supervised learning

HIGHLIGHTS

• who: Aayushi Chaudhari et al. from the Charotar University of Science and Technology, Changa, India have published the article: Facial Emotion Recognition with Inter-Modality-Attention-Transformer-Based Self-Supervised Learning, in the Journal: Electronics 2023, 12, x FOR PEER REVIEW of /2023/
• what: The aim of the research was to create contextualized representations from these extracted features using transformer-based architecture, and then use these representations to evaluate low/high degrees of arousal and valence. The aim of the study was to extract face expressions and acoustic sound features from trained DL models for . . .
  

   

  

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