Face Technology Repository(Updating)
- 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
- 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.
- InsightFace: 2D and 3D Face Analysis Project
- CosFace: Large Margin Cosine Loss for Deep Face Recognition
- Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs(MS-Celeb-1M-v1c with 86,876 ids/3,923,399 aligned images + Asian-Celeb 93,979 ids/2,830,146 aligned images) [benckmark] [dataset] [result]
- MF2: Level Playing Field for Million Scale Face Recognition(672K people in 4.7M images) [paper] [dataset] [result] [benckmark]
- MegaFace: The MegaFace Benchmark: 1 Million Faces for Recognition at Scale(690k people in 1M images) [paper] [dataset] [result] [benckmark]
- UMDFaces: An Annotated Face Dataset for Training Deep Networks(8k people in 367k images with pose, 21 key-points and gender) [paper] [dataset]
- MS-Celeb-1M: A Dataset and Benchmark for Large Scale Face Recognition(100K people in 10M images) [paper] [dataset] [result] [benchmark] [project]
- VGGFace2: A dataset for recognising faces across pose and age(9k people in 3.3M images) [paper] [dataset]
- VGGFace: Deep Face Recognition(2.6k people in 2.6M images) [paper] [dataset]
- CASIA-WebFace: Learning Face Representation from Scratch(10k people in 500k images) [paper] [dataset]
- LFW: Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments(5.7k people in 13k images) [report] [dataset] [result] [benchmark]
- WiderFace: WIDER FACE: A Face Detection Benchmark(400k people in 32k images with a high degree of variability in scale, pose and occlusion) [paper] [dataset] [result] [benchmark]
- FDDB: A Benchmark for Face Detection in Unconstrained Settings(5k faces in 2.8k images) [report] [dataset] [result] [benchmark]
- AFLW: Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization(25k faces with 21 landmarks) [paper] [benchmark]
- CelebA: Deep Learning Face Attributes in the Wild(10k people in 202k images with 5 landmarks and 40 binary attributes per image) [paper] [dataset]
- 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]
- CosFace: Large Margin Cosine Loss for Deep Face Recognition [paper]
- FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images. [code] [blog]
- InsightFace: 2D and 3D Face Analysis Project [paper] [code1] [code2]
- SphereFace: Deep Hypersphere Embedding for Face Recognition [paper] [code]
- 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] [code] [project]
- FaceNet: A Unified Embedding for Face Recognition and Clustering [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]