cvqluu / Angular-Penalty-Softmax-Losses-PytorchLinks
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
☆498Updated 2 years ago
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☆993Updated 2 years ago
- PyTorch conversion of https://omoindrot.github.io/triplet-loss☆215Updated 2 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆475Updated 5 years ago
- center loss for face recognition☆179Updated 5 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆500Updated 3 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆324Updated 3 years ago
- A PyTorch implementation of center loss on MNIST☆358Updated 7 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 7 years ago
- PyTorch Implementation for SoftTriple Loss☆211Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆639Updated 2 years ago
- Pytorch implementation of CosFace☆259Updated 5 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆316Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆805Updated last year
- The Pytorch Implementation of L-Softmax☆189Updated 7 years ago
- CurricularFace(CVPR2020)☆557Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,198Updated 4 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆340Updated 4 years ago
- face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on☆829Updated 4 years ago
- PyTorch implementation of AdaCos☆211Updated 5 years ago
- Implementation of the mixup training method☆472Updated 7 years ago
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆786Updated 2 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated last year
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 3 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆420Updated last year
- [2020-CVPR]Data Uncertainty Learning in Face Recognition☆166Updated last year
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆615Updated 4 years ago
- (ICCV 2019) Uncertainty-aware Face Representation and Recognition☆351Updated 6 years ago
- Deep Metric Learning☆781Updated 5 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago