Detecting Multi-Scale Faces Using Attention-Based Feature Fusion and Smoothed Context Enhancement

Though tremendous strides have been made in face detection, face detection remains a challenging problem due to scale variance. In this paper, we propose a smoothed attention network for performing scale-invariant face detection by taking advantage of feature fusion and context enhancement, which is dubbed SANet. To reduce the noise in the fused features at different levels, an Attention-guided Fe...