使用论文 PRUNING FILTERS FOR EFFICIENT CONVNETS 提到的方法,深度学习框架使用caffe
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Updated
Apr 8, 2019
使用论文 PRUNING FILTERS FOR EFFICIENT CONVNETS 提到的方法,深度学习框架使用caffe
Implement Face Recognition Code in MXnet (Gluon). Such as SphereFace with A-Softmax.
A TensorFlow implementation for SphereFace!The code can be trained on LFW.
Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.
this repo include paper review, code in face recognition
An implementation of Channel Pruning on face recognition algorithm Sphereface.
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
Implement Face Recognition Code in PyTorch. Such as SphereFace with A-Softmax.
Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
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
A hyperspherical face recognition library based on PyTorch
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
One-shot Learning and deep face recognition notebooks and workshop materials
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
face detection alignment recognition reconstruction ...
This is the implementation of paper <Additive Margin Softmax for Face Verification>
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