Alternatives and similar repositories for SE2CNN

Users that are interested in SE2CNN are comparing it to the libraries listed below

• tanyanair / segmentation_uncertainty
  ☆84Updated 6 years ago
• simongraham / dsf-cnn
  Dense Steerable Filter CNN
  ☆77Updated 2 years ago
• adambielski / pytorch-gconv-experiments
  Experiments with Group Equivariant Convolutions in PyTorch
  ☆117Updated 2 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆111Updated 5 years ago
• basveeling / keras-gcnn
  Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…
  ☆86Updated 5 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 5 years ago
• SamuelJoutard / Permutohedral_attention_module
  ☆29Updated 4 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 6 years ago
• duducheng / Learning-Notes
  Notes and resources on Machine Learning
  ☆56Updated 4 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 4 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆137Updated 6 years ago
• rodsom22 / gcn_refinement
  ☆36Updated 2 years ago
• MIC-DKFZ / probabilistic_unet
  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
  ☆23Updated 6 years ago
• stefanknegt / Probabilistic-Unet-Pytorch
  A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
  ☆288Updated 6 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆89Updated 7 months ago
• HaipengXiong / weighted-hausdorff-loss
  A loss function (Weighted Hausdorff Distance) for object localization in PyTorch
  ☆92Updated 7 years ago
• biomedia-mira / istn
  Image-and-Spatial Transformer Networks
  ☆111Updated 2 years ago
• pfnet-research / label-efficient-brain-tumor-segmentation
  ☆21Updated 4 years ago
• ZerojumpLine / OverfittingUnderClassImbalance
  [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.
  ☆22Updated 2 years ago
• laurahanu / 2D-and-3D-Deep-Autoencoder
  Convolutional AutoEncoder application on MRI images
  ☆77Updated 7 years ago
• Timsey / pg_mri
  This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).
  ☆24Updated 3 years ago
• jongcye / CNN_MumfordShah_Loss
  ☆33Updated 5 years ago
• idiap / attention-sampling
  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
• baumgach / PHiSeg-code
  Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
  ☆128Updated 2 years ago
• UK-Digital-Heart-Project / 4Dsegment
  ☆25Updated 5 years ago
• HiLab-git / SimpleCRF
  matlab and python wrap of crf and dense crf, both 2d and 3d are supported
  ☆169Updated 2 years ago
• fregu856 / evaluating_bdl
  Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
  ☆133Updated 5 years ago
• sciai-lab / pytorch-LearnedRandomWalker
  Pytorch implementation of the LearnedRandomWalker module
  ☆29Updated 4 years ago
• IssamLaradji / covid19_weak_supervision
  WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
  ☆40Updated last year