vandit15 / Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
☆785Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for Class-balanced-loss-pytorch
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆602Updated 3 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆849Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆947Updated 3 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆647Updated 2 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆737Updated 3 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆661Updated 2 years ago
- A curated list of long-tailed recognition resources.☆583Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆630Updated last year
- A PyTorch Implementation of Focal Loss.☆963Updated 5 years ago
- Implementation of the mixup training method☆465Updated 6 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆417Updated 6 months ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆588Updated 4 years ago
- mixup: Beyond Empirical Risk Minimization☆1,168Updated 3 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆444Updated last year
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆362Updated 2 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆750Updated 3 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆636Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆977Updated last month
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆332Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆560Updated 3 months ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆543Updated 4 years ago
- Pytorch implementation of Center Loss☆970Updated last year
- PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss☆333Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆220Updated 4 years ago
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆383Updated 10 months ago
- Implementing Attention Augmented Convolutional Networks using Pytorch☆642Updated 2 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆753Updated 3 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆572Updated 4 years ago
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆733Updated last year
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,304Updated 4 years ago