NKI-AI / ece_lossLinks
A PyTorch implementation of the Exclusive Cross Entropy Loss.
☆20Updated 2 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☆76Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 4 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆111Updated 5 years ago
- Accepted in MIDL 2020☆32Updated 4 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated last year
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆100Updated last year
- ☆24Updated 4 years ago
- ☆67Updated 6 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆29Updated last year
- This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".☆41Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 6 months ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 3 years ago
- ☆33Updated 4 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆97Updated 4 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 3 years ago
- ☆47Updated 2 years ago
- ☆93Updated 4 years ago
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆52Updated 3 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆33Updated 9 months ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆50Updated 2 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 6 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated last year
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆260Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- ☆32Updated last year