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D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection
Facial action units (AUs) relate to specific local facial regions. Recent efforts in automated AU detection have focused on learning the facial patch representations to detect specific AUs. These efforts have encountered three hurdles. First, they implicitly assume that facial patches are robust to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953909/ https://www.ncbi.nlm.nih.gov/pubmed/31930192 http://dx.doi.org/10.3389/fcomp.2019.00011 |