ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionView external linksLinks
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
☆79Jul 13, 2021Updated 4 years ago
Alternatives and similar repositories for My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Users that are interested in My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆170Jun 27, 2019Updated 6 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- Code for paper 'MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI'☆12Sep 2, 2022Updated 3 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Jul 30, 2019Updated 6 years ago
- ☆239May 23, 2020Updated 5 years ago
- Depth to normals preprocessing tool with Python and CUDA support for CVPR2019 paper 1899: DeepLiDAR: Deep Surface Normal Guided Depth Pre…☆11Jun 19, 2020Updated 5 years ago
- ☆11Feb 14, 2024Updated 2 years ago
- Pixel VQ-VAEs for Improved Pixel Art Representation☆17Feb 11, 2023Updated 3 years ago
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Jun 18, 2024Updated last year
- DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)☆59Jun 22, 2020Updated 5 years ago
- Building a Bayesian deep learning classifier☆493Oct 30, 2017Updated 8 years ago
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 5 years ago
- 北航主题的LaTeX beamer模板☆17Jun 9, 2018Updated 7 years ago
- A PyTorch implementation of EMANet based on ICCV 2019 paper "Expectation-Maximization Attention Networks for Semantic Segmentation"☆18Feb 21, 2020Updated 5 years ago
- Project Page☆15Jun 14, 2019Updated 6 years ago
- A variational Bayesian method for similarity learning in non-rigid image registration (CVPR 2022)☆20May 21, 2022Updated 3 years ago
- [AIIM'22] The official code for "Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation"☆25Dec 21, 2022Updated 3 years ago
- Density Network Implementations using TensorFlow☆27Sep 13, 2018Updated 7 years ago
- 固定框内二维矩形装箱算法,二叉树实现☆11Jul 28, 2022Updated 3 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆28May 18, 2021Updated 4 years ago
- ☆25Aug 11, 2022Updated 3 years ago
- Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)☆22Jan 10, 2022Updated 4 years ago
- The repo of the preprinting paper "Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection"☆26May 20, 2023Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- Single Image Reflection Removal based on GAN with Gradient Constraint (GCNet)☆27Jan 14, 2020Updated 6 years ago
- This is an example program illustrating BERTs masked language model.☆28Oct 8, 2020Updated 5 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆783Dec 5, 2025Updated 2 months ago
- ☆28Dec 18, 2025Updated last month
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,562Apr 19, 2024Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,566Feb 2, 2026Updated 2 weeks ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 3 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆68Oct 11, 2021Updated 4 years ago
- Task-Aware Monocular Depth Estimation for 3D Object Detection, AAAI2020☆63Jan 11, 2021Updated 5 years ago
- Towards performant and reliable undersampled MR reconstruction via diffusion model sampling☆66Feb 9, 2023Updated 3 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Oct 23, 2022Updated 3 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Apr 25, 2023Updated 2 years ago
- ☆33Mar 27, 2022Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated last year