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About Eagl N T - A Deep Multi-Task Learning CNN For Emotion, Age and Gender Recognition
This document describes a deep multi-task learning CNN model for facial analysis tasks including emotion recognition, age estimation, and gender recognition. It first reviews relevant background on deep learning, CNNs, and multi-task learning architectures. It then describes the methodology used to develop single-task and multi-task CNN models for the three facial analysis problems using various databases. The models are evaluated and results are presented.
Detailed Information
| Author: | ['asfca'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 102 |
| Language: | English |
| Format: | |
| Price: | FREE |
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