S³FD is a real-time face detector, which performs superiorly on various scales of faces with a single deep neural network, especially for small faces. For more details, please refer to our arXiv paper. This repository intends to reproduce the results of the aforementioned paper.

1. Preparation
2. Evaluation
3. Training
4. Future Enhancements

Follow the instructions here to download and install the proper Caffe version.

To test the pre-trained models, read the Test Instructions

To train new models using SFD, read the Train Instructions

• CFENet Paper
• CFENet Code

• PyramidMobileNet Paper

• DSFD Paper

• SRN Paper