HaiyuWu/SOTA-Face-Recognition-Train-and-Test

EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] 🏆 Winner of compact track of IJCB 2023 Efficient Face Recognition Competition

Face recognition with deep neural networks.

State-of-the-art 2D and 3D Face Analysis Project

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;

Pre-trained models for deepface python library

RetinaFace face detection in PyTorch - training, WIDER FACE evaluation, ONNX export and real-time inference with pretrained weights.

Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.

:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.