kjanjua26 / Git-Loss-For-Deep-Face-Recognition
This repository contains code for my paper "Git Loss for Deep Face Recognition".
☆36Updated 4 years ago
Alternatives and similar repositories for Git-Loss-For-Deep-Face-Recognition:
Users that are interested in Git-Loss-For-Deep-Face-Recognition are comparing it to the libraries listed below
- Pytorch0.4.1 codes for Lighthead-RCNN☆51Updated 4 years ago
- ☆30Updated 7 years ago
- Cascade R-CNN forked from gluon-cv☆33Updated 2 years ago
- ImageNet Detection Tricks☆29Updated 7 years ago
- Feature Pyramid Networks for Object Detection on mxnet☆30Updated 7 years ago
- Face Recognition Training System written by Pytorch☆53Updated 7 years ago
- Heatmap approach for Fashion AI keypoint Challenge☆46Updated 7 years ago
- Implement Face Recognition Code in PyTorch. Such as SphereFace with A-Softmax.☆27Updated 6 years ago
- tools for MegaFace evaluation, e.g. plotting evalaution results☆21Updated 6 years ago
- MxNet Gluon Implementation of Center Loss: A Discriminative Feature Learning Approach for Deep Face Recognition☆34Updated 7 years ago
- DeepLab v3+ in MXNet Gluon☆59Updated 6 years ago
- Code of Face-MagNet that was published in WACV18☆30Updated 6 years ago
- Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.☆80Updated 2 years ago
- Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network) with Caffe☆52Updated 8 years ago
- A MXNet implementation of Modified CBAMnet.mxnet☆39Updated 6 years ago
- MTCNN_Training Scripts For Face Detection with PyTorch 0.4.0☆55Updated 6 years ago
- PyTorch implementation of Deformable Convolution Networks (Supports Pytorch 1.0)☆30Updated 6 years ago
- ☆23Updated 6 years ago
- ☆40Updated 6 years ago
- Apply triplet loss to face recognition, adding new loss layer to the latest version of caffe.☆44Updated 7 years ago
- a simplify and accuracy-maintain model of ResNet-50 by the Invert Residual Construction☆37Updated 6 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 2 years ago
- four ways to compare the speed of roi pooling in pytorch☆62Updated 6 years ago
- ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss☆184Updated 7 years ago
- pytorch version of ShuffleNet and ShuffleNet V2☆24Updated 6 years ago
- Implementation of the paper ''Attention Inspiring Receptive-fields Network''☆58Updated 7 years ago
- Context-driven data augmentation for Object Detection (ECCV'18)☆118Updated 6 years ago
- Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)☆167Updated 4 years ago
- iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019☆103Updated 4 years ago
- ☆35Updated 6 years ago