首页手记人脸检测相关Paper&资源汇总

人脸检测相关Paper&资源汇总

标签：

大数据机器学习人工智能

想要简单了解下人脸检测问题，推荐直接阅读Wider Face数据集评测的各个算法：

了解如下：

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

更多的人脸文章，则可以扫一下里面的论文列表：

文章内容转载自：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