CAFNet

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IEEE Transactions on Affective Computing 2023

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# CAFNet

This repository contains the code of the paper [Dynamic Confidence-Aware Multi-Modal Emotion Recognition](https://ieeexplore.ieee.org/abstract/document/10349925). The DEAP dataset can be downloaded through the link: https://www.eecs.qmul.ac.uk/mmv/datasets/deap/download.html

## Requirement
* Python 3
* Pytorch 1.8.0
* sklearn
* numpy

## Files
* dataset.py
* loss_function.py
* main.py
* net.py
* params.py
* train_validate.py
* utils.py

# Usage

Getting the classification result by running main.py.

## Citation
If you find our work useful, please consider citing our paper:
```
@ARTICLE{10349925,
  author = {Zhu, Qi and Zheng, Chuhang and Zhang, Zheng and Shao, Wei and Zhang, Daoqiang},
  journal = {IEEE Transactions on Affective Computing}, 
  title = {Dynamic Confidence-Aware Multi-Modal Emotion Recognition}, 
  year = {2023},
  volume = {},
  number = {},
  pages = {1-13},
  keywords = {Uncertainty;Emotion recognition;Multi-modal fusion},
  doi = {10.1109/TAFFC.2023.3340924}
}
```

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