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Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation. Traditional approaches for this problem rely on hand-crafted features such as SIFT, HOG, and LBP, followed by a classifier trained on a data...
Gorde:
| Argitaratua izan da: | Sensors (Basel) |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI
2021
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8123912/ https://ncbi.nlm.nih.gov/pubmed/33925371 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21093046 |
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