想要簡(jiǎn)單了解下人臉檢測(cè)問題，推薦直接閱讀Wider Face數(shù)據(jù)集評(píng)測(cè)的各個(gè)算法：

了解如下：

http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/WiderFace_Results.html

更多的人臉文章，則可以掃一下里面的論文列表：

文章內(nèi)容轉(zhuǎn)載自：https://zhuanlan.zhihu.com/p/38512246

ACMMM2016_UnitBox：An Advanced Object Detection Network：

arxiv2016_Face Detection with the Faster R-CNN：

arxiv2016_xiaomi_Bootstrapping Face Detection with Hard Negative Examples：

arxiv2017_Face Detection using Deep Learning：An Improved Faster RCNN Approach：

arxiv2017_FAN_Face Attention Network：An Effective Face Detector for the Occluded Faces

arxiv2017_tencent_Face R-CNN：

arxiv2017_tencent_Face R-FCN_Detecting Faces Using Region-based Fully Convolutional Networks：

arxiv2018_FDNet_Face Detection Using Improved Faster RCNN：

CVPR2016_FaceCraft_Joint Training of Cascaded CNN for Face Detection：

CVPR2018_PCN_Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks：

CVPR2018_ZCC_Seeing Small Faces from Robust Anchors Perspective：

ICCV2017_S3FD：Single Shot Scale-Invariant Face Detector：

ICCV2017_SSH：Single Stage Headless Face Detector：

SPL2016_MTCNN_Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks：

CVPR2015_CascadeCNN_A Convolutional Neural Network Cascade for Face Detection：

arxiv2017_ScaleFace_Face Detection through Scale-Friendly Deep Convolutional Networks：

CVPR2017_SAFD_Scale-Aware Face Detection

IJCB2017_FaceBoxes：A CPU Real-time Face Detector with High Accuracy

arxiv2018_SFace：An Efficient Network for Face Detection in Large Scale Variations

CVPR2016_Multiscale Cascade CNN_WIDER FACE：A Face Detection Benchmark

arxiv2015_DenseBox：Unifying Landmark Localization with End to End Object Detection

ECCV2016_MSCNN_A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

ICCV2017_RSA_Recurrent Scale Approximation for Object Detection in CNN

CVPR2017_HR_Finding Tiny Faces

arxiv2018_PyramidBox：A Context-assisted Single Shot Face Detector

CVPR2018_S2AP_Beyond Trade-off：Accelerate FCN-based Face Detection with Higher Accuracy

DLB2017_CMS-RCNN：Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection

ECCV2016_STN_Supervised Transformer Network for Efficient Face Detection

arxiv2017_AOFD_Masquer Hunter：Adversarial Occlusion-aware Face Detection

CVPR2017_LLE-CNNs_Detecting Masked Faces in the Wild with LLE-CNNs

arxiv2017_MB-FCN_Multi-branch fully convolutional network for face detection

CVPR2018_FaceGANs_Finding Tiny Faces in the Wild with Generative Adversarial Network

arxiv2018_SRN_Selective refinement network for high performance face detection

34. arxiv2018_FANet_Feature agglomeration networks for single stage face detection

arxiv2018_DSFD：Dual Shot Face Detector

NC2018_DCFPN_Detecting face with densely connected face proposal network

arxiv2019_VIM-FD_Robust and High Performance Face Detector

CCBR2018_AFD_Single Shot Attention-Based Face Detector

arxiv2018_LSFHI_Robust Face Detection via Learning Small Faces on Hard Images

arxiv2019_Improved SRN_Improved Selective Refinement Network for Face Detection

ICCV2017_ICC-CNN_Detecting Faces Using Inside Cascaded Contextual CNN

arxiv2018_Detecting and counting tiny faces

arxiv2019_TohokuFace_Revisiting a single-stage method for face detection

arxiv2019_FDDB-360：Face Detection in 360-degree Fisheye Images

arxiv2019_MSFD：Multi-Scale Receptive Field Face Detector

arxiv2014_Face detection with a 3d model

arxiv2016_Occlusion Coherence：Detecting and Localizing Occluded Faces

BMVC2015_Deep face recognition

BTAS2015_A deep pyramid deformable part model for face detection

CVPR2012_Face Detection, Pose Estimation, and Landmark Localization in the Wild

CVPR2013_Detecting and Aligning Faces by Image Retrieval

CVPR2014_Efficient Boosted Exemplar-Based Face Detection

CVPR2016_Exploit All the Layers：Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers

ECCV2014_Face Detection without Bells and Whistles

ECCV2014_Joint Cascade Face Detection and Alignment

ECCV2016_Face Detection with End-to-End Integration of a ConvNet and a 3D Model

ECCV2016_Grid loss：Detecting occluded faces

ICB2015_Unconstrained face detection：State of the art baseline and challenges

ICCV2007_Fast training and selection of Haar features using statistics in boosting-based face detection

ICCV2013_Probabilistic elastic part model for unsupervised face detector adaptation

ICCV2015_Convolutional Channel Features

ICCV2015_Faceness-WIDER_From Facial Parts Responses to Face Detection：A Deep Learning Approach

ICCV2015_Visual Phrases for Exemplar Face Detection

ICFG2015_Fine-grained evaluation on face detection in the wild

ICMR2015_Multi-view Face Detection Using Deep Convolutional Neural Networks

ICPR2016_LDCF_To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection

IJCB2014_ACF-WIDER_Aggregate channel features for multi-view face detection

IJCV2004_haar_adaboost_Robust real-time face detection

IJCV2008_On the Design of Cascades of Boosted Ensembles for Face Detection

INNSCBD2016_A fast deep convolutional neural network for face detection in big visual data

IVC2014_Face detection by structural models

NIPS2015_Spatial transformer networks

TPAMI2016_A Fast and Accurate Unconstrained Face Detector

TPAMI2017_Faceness-Net：Face Detection through Deep Facial Part Responses

TPAMI2017_HyperFace：A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

WACV2014_Improving multiview face detection with multitask deep convolutional neural networks

CVIU2015_A survey on face detection in the wild: past, present and future

人臉檢測(cè)相關(guān)benchmark：

1. IJB-A：CVPR2015_Pushing the frontiers of unconstrained face detection and recognition：IARPA Janus Benchmark A

2. WIDER FACE：CVPR2016_Multiscale Cascade CNN_WIDER FACE：A Face Detection Benchmark

3. AFLW：ICCVW2012_Annotated facial landmarks in the wild：A large-scale, real-world database for facial landmark localization

4. FDDB：UMCS2010_FDDB：A Benchmark for Face Detection in Unconstrained Settings

5. AFW：CVPR2012_Face Detection, Pose Estimation, and Landmark Localization in the Wild

6. Pascal Face：IVC2014_Face detection by structural models

7. MALF：ICFG2015_Fine-grained evaluation on face detection in the wild

8. 4K-Face：arxiv2018_SFace：An Efficient Network for Face Detection in Large Scale Variations

9. MAFA：CVPR2017_Detecting Masked Faces in the Wild with LLE-CNNs

10. arxiv2019_FDDB-360：Face Detection in 360-degree Fisheye Images

總結(jié)

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