Bass
Bayesian Adaptive Superpixel Segmentation (ICCV 2019)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Meduncertainty | 251 | 2 years ago | ||||||||
| Uncertainty in Medical Image Analysis | ||||||||||
| Baysor | 113 | 4 months ago | 20 | mit | Julia | |||||
| Bayesian Segmentation of Spatial Transcriptomics Data | ||||||||||
| Quicknat_pytorch | 99 | 3 years ago | 3 | July 03, 2018 | 6 | mit | Python | |||
| PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty | ||||||||||
| Uq_bnn | 79 | 5 years ago | Jupyter Notebook | |||||||
| Uncertainty quantification using Bayesian neural networks in classification | ||||||||||
| Bass | 65 | 2 years ago | 3 | mit | C++ | |||||
| Bayesian Adaptive Superpixel Segmentation (ICCV 2019) | ||||||||||
| Marching Primitives | 60 | a year ago | mit | MATLAB | ||||||
| [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function | ||||||||||
| Bayes Seg | 30 | 9 years ago | 3 | Java | ||||||
| Java code from the 2008 EMNLP paper "Bayesian Unsupervised Topic Segmentation" by Eisenstein and Barzilay | ||||||||||
| Nn Common Modules | 22 | 3 years ago | 2 | mit | Python | |||||
| Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models | ||||||||||
| Emssl | 21 | a year ago | 1 | mit | Python | |||||
| [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation | ||||||||||
| Bayesian_unet | 10 | 4 years ago | mit | Python | ||||||
| Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs) | ||||||||||
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