CuriousAI / mean-teacherLinks
A state-of-the-art semi-supervised method for image recognition
☆1,641Updated 5 years ago
Alternatives and similar repositories for mean-teacher
Users that are interested in mean-teacher are comparing it to the libraries listed below
Sorting:
- mixup: Beyond Empirical Risk Minimization☆1,192Updated 4 years ago
- ☆1,144Updated 2 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,333Updated 5 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆652Updated 2 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆757Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- A memory-efficient implementation of DenseNets☆1,539Updated 2 years ago
- Unsupervised Domain Adaptation Papers and Code☆763Updated 4 years ago
- A PyTorch Implementation of Focal Loss.☆987Updated 6 years ago
- A CV toolkit for my papers.☆2,049Updated 10 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- ☆576Updated 3 years ago
- Deep Clustering for Unsupervised Learning of Visual Features☆1,735Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,491Updated 2 years ago
- A PyTorch implementation of DenseNet.☆841Updated 7 years ago
- Stochastic Weight Averaging in PyTorch☆977Updated 4 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,402Updated last year
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,462Updated 7 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Updated 4 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆341Updated 7 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,183Updated last year
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆613Updated 4 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,152Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,253Updated last year
- Pytorch implementation of Center Loss☆992Updated 2 years ago
- PyTorch implementation of SENet☆2,339Updated 4 years ago
- PyTorch implementation of Contrastive Learning methods☆1,994Updated 2 years ago
- Implementing Attention Augmented Convolutional Networks using Pytorch☆655Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆555Updated 5 years ago