YuNet: A Tiny Millisecond-level Face Detector  

作　　者：Wei Wu Hanyang Peng Shiqi Yu 

机构地区：[1]Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,China [2]Pengcheng Laboratory,Shenzhen 518066,China

出　　处：《Machine Intelligence Research》2023年第5期656-665,共10页机器智能研究（英文版）

基　　金：supported in part by National Natural Science Foundation of China(No.61976144);the Stable Support Plan Program of Shenzhen Natural Science Fund,China(No.20200925155017002);the National Key Research and Development Program of China(No.2020 AAA0140000).

摘　　要：Great progress has been made toward accurate face detection in recent years.However,the heavy model and expensive computation costs make it difficult to deploy many detectors on mobile and embedded devices where model size and latency are highly constrained.In this paper,we present a millisecond-level anchor-free face detector,YuNet,which is specifically designed for edge devices.There are several key contributions in improving the efficiency-accuracy trade-off.First,we analyse the influential state-of-theart face detectors in recent years and summarize the rules to reduce the size of models.Then,a lightweight face detector,YuNet,is introduced.Our detector contains a tiny and efficient feature extraction backbone and a simplified pyramid feature fusion neck.To the best of our knowledge,YuNet has the best trade-off between accuracy and speed.It has only 75856 parameters and is less than 1/5 of other small-size detectors.In addition,a training strategy is presented for the tiny face detector,and it can effectively train models with the same distribution of the training set.The proposed YuNet achieves 81.1%mAP(single-scale)on the WIDER FACE validation hard track with a high inference efficiency(Intel i7-12700K:1.6ms per frame at 320×320).Because of its unique advantages,the repository for YuNet and its predecessors has been popular at GitHub and gained more than 11K stars at https://github.com/ShiqiYu/libfacedetection.Keywords:Face detection,object detection,computer version,lightweight,inference efficiency,anchor-free mechanism.

关 键 词：Face detection object detection computer version LIGHTWEIGHT inference efficiency anchor-free mechanism. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]