osimeoni / RethinkingDeepActiveLearning
☆15Updated 4 years ago
Alternatives and similar repositories for RethinkingDeepActiveLearning:
Users that are interested in RethinkingDeepActiveLearning are comparing it to the libraries listed below
- ☆14Updated 4 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☆92Updated 6 months ago
- Rotation-based Open Set☆41Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆41Updated last year
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆45Updated last year
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated 2 years ago
- Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".☆21Updated 3 years ago
- code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"☆40Updated last year
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- ☆22Updated 3 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆24Updated 4 years ago
- ☆57Updated 3 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆87Updated 3 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆37Updated 5 months ago
- Code for "When Does Self-supervision Improve Few-shot Learning?" @ ECCV 2020☆35Updated 3 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆98Updated 2 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆72Updated 3 years ago
- ☆32Updated last year
- [ICML 2023] A Closer Look at Few-shot Classification Again☆56Updated last year
- ☆37Updated 4 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- CDS: Cross-Domain Self-supervised Pre-training☆26Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 2 years ago
- State-Relabeling Adversarial Active Learning☆13Updated 3 years ago
- ☆58Updated 2 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago