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Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning
When automatic facial expression recognition is applied to video sequences of speaking subjects, the recognition accuracy has been noted to be lower than with video sequences of still subjects. This effect known as the <i>speaking effect</i> arises during spontaneous conversations, and a...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2020-06-01
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| Seria: | Applied Sciences |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2076-3417/10/11/4002 |
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