Mephisto405 / Unsupervised-Out-of-Distribution-Detection-by-Maximum-Classifier-Discrepancy
Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]
☆30Updated 5 years ago
Alternatives and similar repositories for Unsupervised-Out-of-Distribution-Detection-by-Maximum-Classifier-Discrepancy
Users that are interested in Unsupervised-Out-of-Distribution-Detection-by-Maximum-Classifier-Discrepancy are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆77Updated 3 years ago
- ☆58Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"☆40Updated last year
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 4 years ago
- Published in IEEE Transactions on Artificial Intelligence☆56Updated 3 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 4 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆24Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆72Updated 3 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- Domain Generalization via Entropy Regularization, NeurIPS'20☆65Updated 4 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆56Updated 5 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆49Updated 4 years ago
- ☆23Updated 3 years ago
- ☆32Updated last year
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Source code for ICML2021 Paper - Learning Bounds for Open-set Learning☆35Updated 3 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆52Updated 4 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 3 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆48Updated last year
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 4 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆40Updated 3 years ago