SSL_FER

KO | EN

gitlite — search

#python #java #python3 #arduino #golang #machine-learning #rust #html #flask #javascript #seismology #nodejs

★ 10 Open GitHub ↗

[ACII'22] Analysis of Semi-Supervised Methods for Facial Expression Recognition

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# FER SSL
 
Official Of our ACII 2022 paper:

> [**Analysis of Semi-Supervised Methods for Facial Expression Recognition**](https://arxiv.org/abs/2208.00544)      
> Shuvendu Roy, Ali Etemad       
> *In Proceedings of the IEEE International Conference on Affective Computing and Intelligent Interaction (ACII), 2022*

### Dataset
We used the following dataset 
1. [AffectNet](http://mohammadmahoor.com/affectnet/)
2. [FER-13](https://www.kaggle.com/datasets/msambare/fer2013)
3. [RAF-DB](http://www.whdeng.cn/RAF/model1.html)

Once the dataset is downloaded use the scripts in `datasets/preprocessing` to preprocess the dataset.
The porcessed dataset structure should look like this:
```
dataset
├── train
│   ├── class_001
|   |      ├── 1.jpg
|   |      ├── 2.jpg
|   |      └── ...
│   ├── class_002
|   |      ├── 1.jpg
|   |      ├── 2.jpg
|   |      └── ...
│   └── ...
└── val
    ├── class_001
    |      ├── 1.jpg
    |      ├── 2.jpg
    |      └── ...
    ├── class_002
    |      ├── 1.jpg
    |      ├── 2.jpg
    |      └── ...
    └── ...
```

### Run
Modify the config files in `config/` directory if needed.

```
python [ALGO_NAME].py --c [CONFIG_FILE]
```

### Results
<p align="center">
 <img src="https://github.com/ShuvenduRoy/SSL_FER/blob/main/figures/results.png?raw=true" alt="drawing" width="700"/>
</p>

### Acknowledgements
The semi-supervised algorithm implementations are followed from the following repository: [TorchSSL](https://github.com/TorchSSL/TorchSSL). We thank the authors for releasing their code. If you use our model and code, please consider citing these works as well.

### Citation
 
Please cite our paper if you this code repo in your work.
```
@inproceedings{roy2022analysis,
  title={Analysis of Semi-Supervised Methods for Facial Expression Recognition},
  author={Roy, Shuvendu and Etemad, Ali},
  booktitle={2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)},
  pages={1--8},
  year={2022},
  organization={IEEE}
}
```

## Contact
Thanks for your attention!
If you have any suggestion or question, you can leave a message here or contact us directly:
- shuvendu.roy@queensu.ca

SSL_FER

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README