CAFNet

This repository contains the code of the paper Dynamic Confidence-Aware Multi-Modal Emotion Recognition. 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}
}