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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Unique Paper ID: 161763
Publication Volume & Issue: Volume 10, Issue 6
Page(s): 66 - 69
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