NKI-AI / ece_lossLinks
A PyTorch implementation of the Exclusive Cross Entropy Loss.
☆20Updated 3 years ago
Alternatives and similar repositories for ece_loss
Users that are interested in ece_loss are comparing it to the libraries listed below
Sorting:
- Stochastic Segmentation Networks☆67Updated 5 years ago
- Dense Steerable Filter CNN☆77Updated 3 years ago
- Accepted in MIDL 2020☆32Updated 4 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆64Updated last year
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 3 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 3 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆51Updated 3 years ago
- ☆47Updated 3 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Updated 3 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆31Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆91Updated 11 months ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆113Updated 5 years ago
- ☆24Updated 4 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆35Updated last year
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 7 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆103Updated 5 years ago
- Official PyTorch implementation of improved B-cos models☆55Updated 2 weeks ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Experiment management for Deep Learning science☆19Updated 9 months ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆98Updated 6 years ago
- Code for our MIDL 2021 submission☆17Updated 4 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Framework for creating (partially) reversible neural networks with PyTorch☆155Updated 3 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated last year
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆37Updated 2 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆22Updated 2 years ago
- ☆68Updated 6 years ago
- Core functionality of Eisen☆42Updated 5 years ago