• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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E-Bliss:Deep Learning for Emotional well-being

  • Unique Paper ID: 161763
  • Volume: 10
  • Issue: 6
  • PageNo: 66-69
  • Abstract:
  • In this research project, we focus solely on the utilization of facial pictures for emotion recognition. We propose a comprehensive approach centered on addressing challenges related to in-the-wild (ITW) facial expression recognition. To this end, we introduce a pytorch a deep learning framework, coupled with a other neural networks. Our extensive evaluations on prominent ITW FER datasets demonstrate the efficacy of our proposed method, showcasing its superiority over existing state-of-the-art techniques.
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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 6
  • PageNo: 66-69

E-Bliss:Deep Learning for Emotional well-being

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UGC Approved
Journal no 47859

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