MobileFaceNet
Contributions:
- Add Depthwise Convolution to SphereFace
- We employed the MobileFaceNet architecture and trained using the angular softmax (A-Softmax) loss function on the VGGFace2 dataset.
Model size: 8MB. Feature size: 256-dimension. Accuracy: 99.30% on LFW.
Citation
If you use this code for your research, please cite our papers.
@inproceedings{SGGAN2019,
title={Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network},
author={Chen, Cunjian and Ross, Arun},
booktitle={IEEE International Conference on Automatic Face & Gesture Recognition},
year={2019}
}
References:
1. https://github.com/wy1iu/sphereface
2. http://www.robots.ox.ac.uk/~vgg/data/vgg_face2/