IML-DKFZ / fd-shiftsLinks
A Benchmark for Failure Detection under Distribution Shifts in Image Classification
☆33Updated 10 months ago
Alternatives and similar repositories for fd-shifts
Users that are interested in fd-shifts are comparing it to the libraries listed below
Sorting:
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆68Updated 2 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆67Updated 4 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Updated 2 years ago
- Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'☆24Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆12Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated last year
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆66Updated 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
- Official PyTorch implementation of improved B-cos models☆51Updated last year
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- ☆38Updated 4 years ago
- Code for the paper https://arxiv.org/abs/2003.00827☆105Updated 3 years ago
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆62Updated 5 months ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆47Updated 8 months ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 3 years ago
- Mutual Information in Pytorch☆112Updated 2 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- Code for the Medical Out of Distribution challenge 2020☆26Updated 4 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- A collection of self-supervised papers in medical imaging.☆40Updated 4 years ago
- Archive for Self-supervised learning in Medical images (A4SM).☆60Updated 3 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆25Updated 2 years ago