RFCN implement based on Keras&Tensorflow
This is an implementation of FaceRFCN - Detecting Faces Using Region-based Fully Convolutional Networks on Python 3, Keras, and TensorFlow. The model generates bounding boxes for each face in the image. It's based on Feature Pyramid Network (FPN) and a ResNet50 or ResNet101 backbone.
We took (https://github.com/parap1uie-s/Keras-RFCN) as our base code and implemented position sensitive average pooling and Online Hard Example Mining as described in FaceRFCN paper.
This repository includes model code, training and testing code for WiderFace dataset.