Awesome-Face-Detection-and-Recognition

🔥🔥🔥 This repository lists some awesome face detection and recognition projects.

Contents

• Awesome-Face-Detection-and-Recognition
  • Summary
  • Face Detection
  • Face Recognition
  • Datasets
    • Face Detection Datasets
    • Face Recognition Datasets

Summary

• ChanChiChoi/awesome-Face_Recognition : papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval.

• becauseofAI/awesome-face : An awesome face technology repository.

• ageitgey/face_recognition : The world's simplest facial recognition api for Python and the command line.

• takuya-takeuchi/FaceRecognitionDotNet : The world's simplest facial recognition api for .NET on Windows, MacOS and Linux.

• polarisZhao/awesome-face : 😎 face releated algorithm, dataset and paper.

• clpeng/Awesome-Face-Forgery-Generation-and-Detectione : A curated list of articles and codes related to face forgery generation and detection.

Face Detection

• Viola-Jones : "Robust Real-Time Face Detection". (IJCV 2004)

• MTCNN : "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks". (IEEE signal processing letters, 2016)

• FaceBoxes : "FaceBoxes: A CPU real-time face detector with high accuracy". (IJCB, 2017)

• DSFD : "DSFD: Dual Shot Face Detector". (CVPR 2019)

• RetinaFace : "RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild". (CVPR 2020)

• hukkelas/DSFD-Pytorch-Inference : State of the Art Face Detection in Pytorch with DSFD and RetinaFace.

• SCRFD : "Sample and Computation Redistribution for Efficient Face Detection". (arXiv 2021)

• YOLO5Face : "YOLO5Face: Why Reinventing a Face Detector". (arXiv 2021)

• YOLO-FaceV2 : "YOLO-FaceV2: A Scale and Occlusion Aware Face Detector ". (arXiv 2022). "微信公众号「江大白」《超越Yolo5-Face，Yolo-Facev2开源，各类Trick优化，值得学习！》"

• OAID/TengineKit : TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

• xialuxi/yolov5_face_landmark : 基于yolov5的人脸检测，带关键点检测。

• sthanhng/yoloface : Deep learning-based Face detection using the YOLOv3 algorithm.

• DayBreak-u/yolo-face-with-landmark : yoloface大礼包 使用pytroch实现的基于yolov3的轻量级人脸检测（包含关键点）。

• abars/YoloKerasFaceDetection : Face Detection and Gender and Age Classification using Keras.

• dannyblueliu/YOLO-Face-detection : Face detection based on YOLO darknet.

• wmylxmj/YOLO-V3-IOU : YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19.

• pranoyr/head-detection-using-yolo : Detection of head using YOLO.

• grapeot/AnimeHeadDetector : An object detector for character heads in animes, based on Yolo V3.

• Chenyang-ZHU/YOLOv3-Based-Face-Detection-Tracking : This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen.

• zdfb/Yolov5_face : 基于pytorch的Yolov5人脸检测。

• derronqi/yolov7-face : yolov7 face detection with landmark.

Face Recognition

• [DeepFace] : "DeepFace: Closing the Gap to Human-Level Performance in Face Verification". (CVPR 2014)

• [DeepID2]: "FaceNet: A Unified Embedding for Face Recognition and Clustering". (NIPS 2014)

• VGGFace: "Deep Face Recognition". (British Machine Vision Conference, 2015)

• FaceNet : "Deep learning face representation by joint identification-verification". (CVPR 2015)

• [CosFace]: "CosFace: Large Margin Cosine Loss for Deep Face Recognition". (CVPR 2018)

• [MobileFaceNets]: "MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices". (CCBR 2018)

• ArcFace : State-of-the-art 2D and 3D Face Analysis Project. "Arcface: Additive angular margin loss for deep face recognition". (CVPR 2019).

• SphereFace : "SphereFace: Deep Hypersphere Embedding for Face Recognition". (CVPR 2017).

• OpenSphere : OpenSphere is a hyperspherical face recognition library based on PyTorch. "SphereFace: Deep Hypersphere Embedding for Face Recognition". (CVPR 2017). "SphereFace2: Binary Classification is All You Need for Deep Face Recognition". (ICLR 2022). "SphereFace Revived: Unifying Hyperspherical Face Recognition". (TPAMI 2022).

• ViewFaceCore/ViewFaceCore : C# 超简单的离线人脸识别库。( 基于 SeetaFace6 )

• serengil/deepface : A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.

• ZhaoJ9014/face.evoLVe : 🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥.

• hpc203/10kinds-light-face-detector-align-recognition : 10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度。

• coneypo/Dlib_face_recognition_from_camera : Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别。

• zhouyuchong/face-recognition-deepstream : Deepstream app use YOLO, retinaface and arcface for face recognition.

• ColinFred/yolov5_arcface_face_recognition : 利用Yolov5做人脸检测，框出识别到的人脸，用 ArcFace 做人脸识别。 (Yolov5 + ArcFace 人脸识别)

• mesutpiskin/face-detection-and-recognition : C# Face detection and recognition with EmguCV. Eigenfaces, Fisherfaces and LBPH algorithms.

Datasets

• Face Detection Datasets

  • WIDER FACE : "WIDER FACE: A Face Detection Benchmark". (CVPR 2016)

  • UFDD : Unconstrained Face Detection Dataset(UFDD). "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results". (IEEE BTAS 2018)

• Face Recognition Datasets

  • LFW : Labeled Faces in the Wild(LFW). "Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments". (Workshop on faces in'Real-Life'Images: detection, alignment, and recognition. 2008)

  • YouTube Faces (YTF) : "Face recognition in unconstrained videos with matched background similarity". (CVPR 2011)

  • CASIA-WebFace : "Learning Face Representation from Scratch". (arXiv 2014)

  • IJB-A : "Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A". (CVPR 2015)

  • MS-Celeb-1M : "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition". (ECCV 2016)

  • MegaFace : "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale". (CVPR 2016)

  • UMDFaces : "UMDFaces: An annotated face dataset for training deep networks". (IJCB 2017)

  • IJB-B : "IARPA Janus Benchmark-B Face Dataset". (CVPR 2017)

  • IJB-C : "IARPA Janus Benchmark - C: Face Dataset and Protocol". (ICB 2018)

  • VGGFace2 : "VGGFace2: A Dataset for Recognising Faces across Pose and Age". (FG 2018)