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BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

2019-07-11 · Valentin Bazarevsky, Yury Kartynnik, Andrey Vakunov, Karthik Raveendran, Matthias Grundmann

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.

📄 PDF Abstract BibTeX arXiv:1907.05047

Code (10)

CycloneBoy/PPDetectionPytorch pytorch
MaximilianHollis/Maskify
PaddlePaddle/PaddleDetection paddle
dl-maxwang/blazeface-tensorflow tf
gouthamvgk/facemesh_coreml_tf tf
hollance/BlazeFace-PyTorch pytorch
kentaroy47/BlazeFace_Person.pytorch pytorch
longnguyen2/blazeface pytorch
minus31/BlazeFace tf
zineos/blazeface pytorch

Tasks

Face DetectionGPU

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