We present BlazeFace, a lightweight and well-performing face detector
tailored for mobile GPU inference. It runs at a speed of 200-1000+ FPS on
flagship devices. This super-realtime performance enables it to be applied to
any augmented reality pipeline that requires an accurate facial region of
interest as an input for task-specific models, such as 2D/3D facial keypoint or
geometry estimation, facial features or expression classification, and face
region segmentation. Our contributions include a lightweight feature extraction
network inspired by, but distinct from MobileNetV1/V2, a GPU-friendly anchor
scheme modified from Single Shot MultiBox Detector (SSD), and an improved tie
resolution strategy alternative to non-maximum suppression.

BlazeFace 是一个轻量且表现良好的人脸检测器，适用于移动 GPU 推理，能够以 200-1000+FPS 的速度运行。它可应用于需要准确面部区域的增强现实流水线，作为 2D / 3D 面部关键点或几何估计，面部特征或表情分类以及面部区域分割的输入。我们的贡献包括一个轻量级的特征提取网络、一个从 SSD 修改的 GPU 友好型锚点方案以及一种改进的连接决策策略。