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Facial Expression Recognition Robust to Occlusion and to Intra-Similarity Problem Using Relevant Subsampling
This paper proposes facial expression recognition (FER) with the wild data set. In particular, this paper chiefly deals with two issues, occlusion and intra-similarity problems. The attention mechanism enables one to use the most relevant areas of facial images for specific expressions, and the trip...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007059/ https://www.ncbi.nlm.nih.gov/pubmed/36904823 http://dx.doi.org/10.3390/s23052619 |