metadata
license: mit
metrics:
- recall
pipeline_tag: video-classification
tags:
- FER
- Image Classification
library_name: PyTorch
Static and dynamic facial emotion recognition using the Emo-AffectNet model
This is Emo-AffectNet model for facial emotion recognition by videos / images.
To see the emotion detected by webcam, you should run run_webcam. Webcam result:
For more information see GitHub.
Citation
If you are using EMO-AffectNet model in your research, please consider to cite research paper. Here is an example of BibTeX entry:
@article{RYUMINA2022,
title = {In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study},
author = {Elena Ryumina and Denis Dresvyanskiy and Alexey Karpov},
journal = {Neurocomputing},
year = {2022},
doi = {10.1016/j.neucom.2022.10.013},
url = {https://www.sciencedirect.com/science/article/pii/S0925231222012656},
}