cvqluu / Angular-Penalty-Softmax-Losses-PytorchLinks
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
☆489Updated last year
Alternatives and similar repositories for Angular-Penalty-Softmax-Losses-Pytorch
Users that are interested in Angular-Penalty-Softmax-Losses-Pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Center Loss☆990Updated 2 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆466Updated 5 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 6 years ago
- center loss for face recognition☆178Updated 4 years ago
- PyTorch conversion of https://omoindrot.github.io/triplet-loss☆213Updated 2 years ago
- Pytorch implementation of CosFace☆251Updated 4 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆336Updated 4 years ago
- face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on☆823Updated 3 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆499Updated 2 years ago
- CurricularFace(CVPR2020)☆548Updated 10 months ago
- PyTorch Implementation for SoftTriple Loss☆206Updated 10 months ago
- A PyTorch implementation of center loss on MNIST☆360Updated 6 years ago
- The Pytorch Implementation of L-Softmax☆188Updated 6 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆322Updated 3 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆421Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- PyTorch implementation of AdaCos☆212Updated 4 years ago
- [2020-CVPR]Data Uncertainty Learning in Face Recognition☆165Updated 10 months ago
- face recognition training project(pytorch)☆476Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆798Updated last year
- Official Pytorch implementation of CutMix regularizer☆1,239Updated 4 years ago
- Implementation of the mixup training method☆466Updated 6 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆988Updated 7 months ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆611Updated 3 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆573Updated 4 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆309Updated 2 years ago
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆585Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,180Updated 3 years ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆342Updated 3 years ago