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
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 4 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 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☆104Updated 2 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆97Updated 11 months ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- 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
- 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
- Implementation of "Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders" in MICCAI 2020.☆19Updated 4 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆15Updated 5 years ago
- Official implementation of "Anomaly Detection with Deep Perceptual Autoencoders." IEEE Access 2021☆49Updated 3 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping☆104Updated 2 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Updated last year
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆221Updated 5 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- The official code of Relevance-CAM☆45Updated last year
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 3 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)☆38Updated 6 years ago
- Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification☆72Updated 2 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- ☆27Updated 5 years ago