English
资源说明：Face detection has achieved great success using the region-based methods. In
this report, we propose a region-based face detector applying deep networks in
a fully convolutional fashion, named Face R-FCN. Based on Region-based Fully
Convolutional Networks (R-FCN), our face detector is more accurate and computationally
efficient compared with the previous R-CNN based face detectors.
In our approach, we adopt the fully convolutional Residual Network (ResNet) as
the backbone network. Particularly, we exploit several new techniques including
position-sensitive average pooling, multi-scale training and testing and on-line
hard example mining strategy to improve the detection accuracy. Over two most
popular and challenging face detection benchmarks, FDDB and WIDER FACE,
Face R-FCN achieves superior performance over state-of-the-arts.
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