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About Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
This document summarizes a research paper that proposes a deep learning approach called an attentional convolutional network for facial expression recognition. The network is able to focus on important parts of the face and achieves improved accuracy over previous models on several datasets. The paper introduces the problem of facial expression recognition and reviews related work applying deep learning methods. It then describes the proposed attentional convolutional network architecture and experimental results demonstrating state-of-the-art performance on multiple datasets.
Detailed Information
| Author: | ['Gyi Gyi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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