rafikg / CEAL
Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper
☆17Updated 5 years ago
Alternatives and similar repositories for CEAL:
Users that are interested in CEAL are comparing it to the libraries listed below
- ☆15Updated 3 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆84Updated 3 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆22Updated 3 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated 11 months ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆43Updated 2 years ago
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Updated 5 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 3 years ago
- CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet☆53Updated 4 years ago
- ☆40Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆102Updated last year
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 2 years ago
- ☆34Updated 4 years ago
- ☆22Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Comparing active learning, semi-supervised learning and combination of them on deep learning.☆13Updated 7 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Epistemic Uncertainty Estimation with Monte Carlo Dropout☆8Updated 5 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 4 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆78Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch☆82Updated 6 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 5 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆225Updated last year
- ☆26Updated 3 years ago
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Updated 3 years ago
- Code for the MICCAI DART 2020 paper☆32Updated 3 years ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago