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HelloFace Mentioned in Awesome HelloFace

Face Technology Repository(Updating)

👋Recent Update

2019/04/06
  • ISRN: Improved Selective Refinement Network for Face Detection
  • DSFD: Dual Shot Face Detector
  • PyramidBox++: High Performance Detector for Finding Tiny Face
  • VIM-FD: Robust and High Performance Face Detector
  • SHF: Robust Face Detection via Learning Small Faces on Hard Images
  • SRN: Selective Refinement Network for High Performance Face Detection
  • SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection Robust Face Detection via Learning Small Faces on Hard Images
  • JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces
  • PFLD: A Practical Facial Landmark Detector
  • LinkageFace: Linkage Based Face Clustering via Graph Convolution Network
  • MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey
  • GhostVLAD: GhostVLAD for set-based face recognition
  • DocFace+: ID Document to Selfie Matching
  • DiF: Diversity in Faces
  • 2018Survey: Face Recognition: From Traditional to Deep Learning Methods
2019/01/12
  • 2018Survey: Deep Facial Expression Recognition: A Survey
  • 2018Survey: Deep Face Recognition: A Survey
  • SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy
  • HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
2018/12/01
  • FRVT: Face Recognition Vendor Test
  • GANimation: Anatomically-aware Facial Animation from a Single Image
  • StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
  • Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos
  • HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
  • PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
  • LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm
  • Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
  • Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
  • Face3D: Python tools for processing 3D face
  • IMDb-Face: The Devil of Face Recognition is in the Noise
  • AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning
  • AM-Softmax: Additive Margin Softmax for Face Verification
  • FeatureIncay: Feature Incay for Representation Regularization
  • NormFace: L2 hypersphere embedding for face Verification
  • CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
  • L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks
2018/07/21
  • MobileFace: A face recognition solution on mobile device
  • Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs
  • MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
2018/04/20
  • PyramidBox: A Context-assisted Single Shot Face Detector
  • PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
  • S³FD: Single Shot Scale-invariant Face Detector
  • SSH: Single Stage Headless Face Detector
  • NPD: A Fast and Accurate Unconstrained Face Detector
  • PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
  • libfacedetection: A fast binary library for face detection and face landmark detection in images.
  • SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification.
  • FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
2018/03/28
  • InsightFace(ArcFace): 2D and 3D Face Analysis Project
  • CosFace: Large Margin Cosine Loss for Deep Face Recognition

🔖Face Benchmark and Dataset

Face Recognition

Face Detection

Face Landmark

  • LS3D-W: A large-scale 3D face alignment dataset constructed by annotating the images from AFLW, 300VW, 300W and FDDB in a consistent manner with 68 points using the automatic method [paper] [dataset]
  • AFLW: Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization(25k faces with 21 landmarks) [paper] [benchmark]

Face Attribute

  • CelebA: Deep Learning Face Attributes in the Wild(10k people in 202k images with 5 landmarks and 40 binary attributes per image) [paper] [dataset]

🔖Face Recognition

  • LinkageFace: Linkage Based Face Clustering via Graph Convolution Network [paper]
  • MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey [paper]
  • GhostVLAD: GhostVLAD for set-based face recognition [paper]
  • DocFace+: ID Document to Selfie Matching [paper] [code]
  • 2018Survey: Face Recognition: From Traditional to Deep Learning Methods [paper]
  • 2018Survey: Deep Facial Expression Recognition: A Survey [paper]
  • 2018Survey: Deep Face Recognition: A Survey [paper]
  • SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy [paper] [code]
  • MobileFace: A face recognition solution on mobile device [code]
  • MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices [paper] [code1] [code2] [code3] [code4]
  • FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images. [code] [blog]
  • InsightFace(ArcFace): 2D and 3D Face Analysis Project [paper] [code1] [code2]
  • AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning [paper]
  • AM-Softmax: Additive Margin Softmax for Face Verification [paper] [code1] [code2]
  • CosFace: Large Margin Cosine Loss for Deep Face Recognition [paper] [code1] [code2]
  • FeatureIncay: Feature Incay for Representation Regularization [paper]
  • CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition [paper] [code]
  • NormFace: L2 hypersphere embedding for face Verification [paper] [code]
  • SphereFace(A-Softmax): Deep Hypersphere Embedding for Face Recognition [paper] [code]
  • L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks [paper] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
  • CenterLoss: A Discriminative Feature Learning Approach for Deep Face Recognition [paper] [code1] [code2] [code3] [code4]
  • OpenFace: A general-purpose face recognition library with mobile applications [report] [project] [code1] [code2]
  • FaceNet: A Unified Embedding for Face Recognition and Clustering [paper] [code]
  • DeepID3: DeepID3: Face Recognition with Very Deep Neural Networks [paper]
  • DeepID2+: Deeply learned face representations are sparse, selective, and robust [paper]
  • DeepID2: Deep Learning Face Representation by Joint Identification-Verification [paper]
  • DeepID: Deep Learning Face Representation from Predicting 10,000 Classes [paper]
  • DeepFace: Closing the gap to human-level performance in face verification [paper]
  • LBP+Joint Bayes: Bayesian Face Revisited: A Joint Formulation [paper] [code1] [code2] [code3]
  • LBPFace: Face recognition with local binary patterns [paper] [code]
  • FisherFace(LDA): Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection [paper] [code]
  • EigenFace(PCA): Face recognition using eigenfaces [paper] [code]

🔖Face Detection

  • ISRN: Improved Selective Refinement Network for Face Detection [paper]
  • DSFD: Dual Shot Face Detector [paper] [code]
  • PyramidBox++: High Performance Detector for Finding Tiny Face [paper]
  • VIM-FD: Robust and High Performance Face Detector [paper]
  • SHF: Robust Face Detection via Learning Small Faces on Hard Images [paper] [code]
  • SRN: Selective Refinement Network for High Performance Face Detection [paper]
  • SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection [paper]
  • HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition [paper] [code]
  • PyramidBox: A Context-assisted Single Shot Face Detector [paper] [code]
  • PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks [paper] [code]
  • S³FD: Single Shot Scale-invariant Face Detector [paper] [code]
  • SSH: Single Stage Headless Face Detector [paper] [code]
  • FaceBoxes: A CPU Real-time Face Detector with High Accuracy [paper][code1] [code2]
  • TinyFace: Finding Tiny Faces [paper] [project] [code1] [code2] [code3]
  • MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks [paper] [project] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
  • NPD: A Fast and Accurate Unconstrained Face Detector [paper] [code] [project]
  • PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees [paper] [code]
  • libfacedetection: A fast binary library for face detection and face landmark detection in images. [code]
  • SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification [code]

🔖Face Landmark

  • PFLD: A Practical Facial Landmark Detector [paper] [project] [code]
  • PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network [paper] [code]
  • LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm [paper] [project] [code]
  • Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) [paper] [project] [code1] [code2]
  • ERT: One Millisecond Face Alignment with an Ensemble of Regression Trees [paper] [code]

🔖Face 3D

  • JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces [paper]

🔖Face GAN

  • HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization [paper]
  • Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs [paper]
  • GANimation: Anatomically-aware Facial Animation from a Single Image [paper] [project] [code]
  • StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [paper] [code]
  • PGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [paper] [code1] [code2]
  • Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos [code1] [code2]

Face Lib&Tool

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