svdesai / coreset-alLinks
A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)
☆23Updated 4 years ago
Alternatives and similar repositories for coreset-al
Users that are interested in coreset-al are comparing it to the libraries listed below
Sorting:
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆93Updated 7 months ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 4 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Official implementation for MICCAI 2021 paper "Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching"☆50Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆87Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆67Updated 4 years ago
- ☆15Updated 4 years ago
- Official implementation of COLosSAL [MICCAI 2023]☆15Updated last year
- ☆54Updated 2 years ago
- ☆22Updated 3 years ago
- Pytorch implementation of BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active …☆57Updated 3 years ago
- Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis☆55Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆65Updated 2 years ago
- Domain adaptation segmentation for volume EM imaging☆20Updated last year
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated last year
- On uncertainty estimation in active learning for image segmentation☆12Updated 4 years ago
- Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning☆26Updated 4 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆18Updated 3 years ago
- O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.☆18Updated 3 years ago
- Hard Sample Aware Noise Robust Learning forHistopathology Image Classification☆35Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆32Updated 7 months ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper☆17Updated 5 years ago
- Federated Learning for Computational Pathology - Medical Image Analysis☆49Updated 3 years ago
- ☆35Updated 4 years ago
- Pytorch implementation for MICCAI 2021 paper "FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification"☆6Updated 3 years ago