rafikg / CEALLinks
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
Sorting:
- ☆15Updated 4 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆105Updated 2 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 4 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆98Updated last year
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆182Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 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…☆79Updated 4 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆223Updated 5 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆45Updated 3 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆74Updated 5 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆235Updated 2 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆87Updated 2 years ago
- Survey for Distribution Shift☆19Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Domain adaptation segmentation for volume EM imaging☆20Updated 2 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆16Updated 5 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆74Updated 3 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆57Updated 7 years ago
- On uncertainty estimation in active learning for image segmentation☆12Updated 4 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Implementation of "Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders" in MICCAI 2020.☆20Updated 5 years ago
- Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification☆73Updated 2 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆65Updated 5 years ago
- An unofficial PyTorch implementation of "Learning Loss for Active Learning"☆10Updated 3 years ago