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Unmasking the Devil in the Details: What Works for Deep Facial Action Coding?
The performance of automated facial expression coding has improving steadily as evidenced by results of the latest Facial Expression Recognition and Analysis (FERA 2017) Challenge. Advances in deep learning techniques have been key to this success. Yet the contribution of critical design choices rem...
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| Veröffentlicht in: | BMVC |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274256/ https://ncbi.nlm.nih.gov/pubmed/32510058 |
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