HiKapok / tf.extra_losses
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
☆106Updated 5 years ago
Alternatives and similar repositories for tf.extra_losses:
Users that are interested in tf.extra_losses are comparing it to the libraries listed below
- a re-implementation of asoftmax in tensorflow☆91Updated 7 years ago
- Center Loss implementation with TensorFlow☆158Updated 7 years ago
- ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss☆184Updated 7 years ago
- SphereFace_tensorflow☆20Updated 6 years ago
- Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''☆175Updated 7 years ago
- A Tensorflow implementation of "A Light CNN for Deep Face Representation with Noisy Labels"☆78Updated 7 years ago
- SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.☆148Updated 5 years ago
- prepare faces for face recognition training☆120Updated 6 years ago
- SeqFace : Making full use of sequence information for face recognition☆130Updated 5 years ago
- Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017☆238Updated 7 years ago
- Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]☆136Updated 5 years ago
- Implementation for <Decoupled Networks> in CVPR'18.☆115Updated 6 years ago
- Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition☆288Updated 6 years ago
- A simple yet effective loss function for face verification.☆488Updated 6 years ago
- This is the pre-trained model of SphereFace : Deep Hypersphere Embedding for Face Recognition☆57Updated 7 years ago
- Face Recognition Using A-Softmax_loss on light cleaned Ms_celeb-1M dataset☆183Updated 7 years ago
- MassFace: an effecient implementation using triplet loss for face recognition☆56Updated 5 years ago
- An implementation for mnist center loss training and visualization☆75Updated 6 years ago
- Apply triplet loss to face recognition, adding new loss layer to the latest version of caffe.☆44Updated 7 years ago
- NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW☆370Updated 7 years ago
- implement center loss operator for mxnet☆193Updated 8 years ago
- 使用pytorch实现了FaceBoxes: A CPU Real-time Face Detector with High Accuracy☆131Updated 6 years ago
- A Caffe Re-Implementation of SENet☆169Updated 6 years ago
- Re-implementation of tripletloss function in FaceNet☆92Updated 7 years ago
- Some scripts to process face datasets.☆331Updated 6 years ago
- ☆31Updated 7 years ago
- Model shared. Top1:71.806/Top5:90.410☆59Updated 6 years ago
- An implementation of Learning Residual Images for Face Attribute Manipulation☆52Updated 7 years ago
- Face detection with the Faster-R-CNN or R-FCN☆70Updated 8 years ago
- This repository contains code for my paper "Git Loss for Deep Face Recognition".☆36Updated 3 years ago