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About Paper - Deep - Learning - Emotion Detection PDF
The document compares three CNN architectures for emotion classification from facial expressions to evaluate their performance and complexity for use in real-time systems. It summarizes related work applying CNNs for emotion recognition. It then describes the datasets and CNN models to be tested, and the evaluation metrics of accuracy, confusion matrix, and a metric relating model complexity and performance. The results of classifying emotions using the CNN architectures on the datasets will be presented and discussed.
Detailed Information
| Author: | ['Jose Guillermo Balbuena Galvan'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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