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Learning Facial Action Units with Spatiotemporal Cues and Multi-label Sampling
Facial action units (AUs) may be represented spatially, temporally, and in terms of their correlation. Previous research focuses on one or another of these aspects or addresses them disjointly. We propose a hybrid network architecture that jointly models spatial and temporal representations and thei...
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| Publicado no: | Image Vis Comput |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6277040/ https://ncbi.nlm.nih.gov/pubmed/30524157 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.imavis.2018.10.002 |
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