Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
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Updated
May 21, 2024 - Python
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
A hyperspherical face recognition library based on PyTorch
Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
One-shot Learning and deep face recognition notebooks and workshop materials
Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
An implementation of Channel Pruning on face recognition algorithm Sphereface.
this repo include paper review, code in face recognition
Deep Face Recognition in PyTorch
使用论文 PRUNING FILTERS FOR EFFICIENT CONVNETS 提到的方法,深度学习框架使用caffe
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
This is the implementation of paper <Additive Margin Softmax for Face Verification>
A TensorFlow implementation for SphereFace!The code can be trained on LFW.
Implement Face Recognition Code in PyTorch. Such as SphereFace with A-Softmax.
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