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Author Dorota Kaminska; Kadir Aktas; Davit Rizhinashvili; Danila Kuklyanov; Abdallah Hussein Sham; Sergio Escalera; Kamal Nasrollahi; Thomas B. Moeslund; Gholamreza Anbarjafari edit   pdf
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  Title Two-stage Recognition and Beyond for Compound Facial Emotion Recognition Type Journal Article
  Year 2021 Publication Electronics Abbreviated Journal  
  Volume 10 Issue 22 Pages 2847  
  Keywords compound emotion recognition; facial expression recognition; dominant and complementary emotion recognition; deep learning  
  Abstract Facial emotion recognition is an inherently complex problem due to individual diversity in facial features and racial and cultural differences. Moreover, facial expressions typically reflect the mixture of people’s emotional statuses, which can be expressed using compound emotions. Compound facial emotion recognition makes the problem even more difficult because the discrimination between dominant and complementary emotions is usually weak. We have created a database that includes 31,250 facial images with different emotions of 115 subjects whose gender distribution is almost uniform to address compound emotion recognition. In addition, we have organized a competition based on the proposed dataset, held at FG workshop 2020. This paper analyzes the winner’s approach—a two-stage recognition method (1st stage, coarse recognition; 2nd stage, fine recognition), which enhances the classification of symmetrical emotion labels.  
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  Area Expedition Conference  
  Notes HUPBA; no proj Approved no  
  Call Number Admin @ si @ KAR2021 Serial 3642  
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