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Occlusion facial expression recognition based on feature fusion residual attention network
Recognizing occluded facial expressions in the wild poses a significant challenge. However, most previous approaches rely solely on either global or local feature-based methods, leading to the loss of relevant expression features. To address these issues, a feature fusion residual attention network...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472272/ https://www.ncbi.nlm.nih.gov/pubmed/37663762 http://dx.doi.org/10.3389/fnbot.2023.1250706 |