Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
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Updated
Jul 24, 2022 - Jupyter Notebook
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
This is the implementation of paper <Additive Margin Softmax for Face Verification>
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
A hyperspherical face recognition library based on PyTorch
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
face detection alignment recognition reconstruction ...
One-shot Learning and deep face recognition notebooks and workshop materials
Deep Face Recognition in PyTorch
SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
An implementation of Channel Pruning on face recognition algorithm Sphereface.
Implement Face Recognition Code in PyTorch. Such as SphereFace with A-Softmax.
Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
this repo include paper review, code in face recognition
A TensorFlow implementation for SphereFace!The code can be trained on LFW.
Implement Face Recognition Code in MXnet (Gluon). Such as SphereFace with A-Softmax.
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