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:
- Dense Steerable Filter CNN☆77Updated 3 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆64Updated last year
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- ☆68Updated 6 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆31Updated last year
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆103Updated 4 years ago
- Accepted in MIDL 2020☆32Updated 4 years ago
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 5 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
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆113Updated 5 years ago
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆101Updated 2 years ago
- PyTorch implementation of SPOCO☆32Updated last year
- Unified Pytorch framework for image-based self-supervised learning☆93Updated 4 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆263Updated 4 years ago
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆52Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 4 years ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16Updated 4 years ago
- Code for our MIDL 2021 submission☆17Updated 4 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 2 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 3 years ago
- ☆24Updated 4 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated last year
- 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
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆22Updated 2 years ago
- This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".☆41Updated 2 years ago
- ☆21Updated 5 years ago
- ☆33Updated 5 years ago