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Update 2020. Bless Trump!
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becauseofAI authored Oct 2, 2020
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Expand Up @@ -17,13 +17,13 @@ Face Technology Repository(**Updating**)
- [Recent Update](#recent-update)
- [2020-10-02](#2020-10-02)
- [2020-01-26](#2020-01-26)
- [2019/07/11](#2019/07/11)
- [2019/04/06](#2019/04/06)
- [2019/01/12](#2019/01/12)
- [2018/12/01](#2018/12/01)
- [2018/07/21](#2018/07/21)
- [2018/04/20](#2018/04/20)
- [2018/03/28](#2018/03/28)
- [2019-07-11](#2019-07-11)
- [2019-04-06](#2019-04-06)
- [2019-01-12](#2019-01-12)
- [2018-12-01](#2018-12-01)
- [2018-07-21](#2018-07-21)
- [2018-04-20](#2018-04-20)
- [2018-03-28](#2018-03-28)
- [Face Benchmark and Dataset](#face-benchmark-and-dataset)
- [Face Recognition Data](#face-recognition-data)
- [Face Detection Data](#face-detection-data)
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- **From Inference to Generation**: End-to-end Fully Self-supervised Generation of Human Face from Speech
- **PFSR**: Progressive Face Super-Resolution via Attention to Facial Landmark

###### 2019/07/11
###### 2019-07-11
- Deep face recognition using imperfect facial data
- Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
- **RegularFace**: Deep Face Recognition via Exclusive Regularization
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- Monocular Total Capture: Posing Face, Body, and Hands in the Wild
- Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

###### 2019/04/06
###### 2019-04-06
- **ISRN**: Improved Selective Refinement Network for Face Detection
- **DSFD**: Dual Shot Face Detector
- **PyramidBox++**: High Performance Detector for Finding Tiny Face
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- **DiF**: Diversity in Faces
- **2018Survey**: Face Recognition: From Traditional to Deep Learning Methods

###### 2019/01/12
###### 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
###### 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
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- **CocoLoss**: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
- **L-Softmax**: Large-Margin Softmax Loss for Convolutional Neural Networks

###### 2018/07/21
###### 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
###### 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
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- **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
###### 2018-03-28
- **InsightFace(ArcFace)**: 2D and 3D Face Analysis Project
- **CosFace**: Large Margin Cosine Loss for Deep Face Recognition

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