Scale-Aware Face Detection

Understand

Convolutional neural network (CNN) based face detectors are inefficient in handling faces of diverse scales.

• They rely on either fitting a large single model to faces across a large scale range or multi-scale testing.
• Both are computationally expensive.
• We propose Scale-aware Face Detector (SAFD) to handle scale explicitly using CNN, and achieve better performance with less computation cost.