Alternatives and similar repositories for EfficientUnet-PyTorch

Users that are interested in EfficientUnet-PyTorch are comparing it to the libraries listed below

• rawmarshmellows / pytorch-unet-resnet-50-encoder
  ☆143Updated 4 years ago
• mkisantal / backboned-unet
  Build U-Nets for segmentation from pre-trained TorchVision models.
  ☆91Updated 6 years ago
• gupta-abhay / setr-pytorch
  Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
  ☆200Updated 4 years ago
• shruti-jadon / Semantic-Segmentation-Loss-Functions
  This Repository is implementation of majority of Semantic Segmentation Loss Functions
  ☆583Updated 3 years ago
• IanTaehoonYoo / semantic-segmentation-pytorch
  Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
  ☆88Updated 5 years ago
• hubutui / DiceLoss-PyTorch
  DiceLoss for PyTorch, both binary and multi-class.
  ☆153Updated 7 years ago
• LucasFidon / GeneralizedWassersteinDiceLoss
  Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
  ☆80Updated 3 years ago
• james128333 / HarDNet-MSEG
  ☆136Updated 4 years ago
• tianbaochou / NasUnet
  ☆179Updated 4 years ago
• Hsuxu / Loss_ToolBox-PyTorch
  PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
  ☆338Updated 4 years ago
• ai-med / squeeze_and_excitation
  PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
  ☆321Updated 5 years ago
• kiraving / SegGradCAM
  SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
  ☆105Updated 2 years ago
• shjo-april / PuzzleCAM
  [ICIP 2021] Puzzle-CAM: Improved localization via matching partial and full features.
  ☆179Updated 3 years ago
• QiaoranC / tf_ResNeSt_RegNet_model
  tensorflow 2.x version of ResNeSt,RegNet,DETR
  ☆130Updated 4 years ago
• xuuuuuuchen / Active-Contour-Loss
  Implementation of active contour loss function
  ☆201Updated 5 years ago
• sinAshish / Multi-Scale-Attention
  [JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
  ☆467Updated 5 years ago
• Bala93 / Multi-task-deep-network
  Usage of Multi-task deep learning network for semantic segmentation in medical images
  ☆130Updated 5 years ago
• LIVIAETS / boundary-loss
  Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…
  ☆717Updated last year
• Britefury / cutmix-semisup-seg
  Semi-supervised semantic segmentation needs strong, varied perturbations
  ☆165Updated 3 years ago
• mlyg / unified-focal-loss
  ☆172Updated 3 years ago
• lc82111 / Active-Contour-Loss-pytorch
  An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
  ☆75Updated last year
• YuvalNirkin / hyperseg
  HyperSeg - Official PyTorch Implementation
  ☆214Updated 3 years ago
• nabsabraham / focal-tversky-unet
  This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" acce…
  ☆360Updated 6 years ago
• yiskw713 / boundary_loss_for_remote_sensing
  Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"
  ☆99Updated 5 years ago
• dilligencer-zrj / code_zoo
  ☆70Updated 6 years ago
• wangchi95 / active-boundary-loss
  Official repository for Active Boundary Loss for Semantic Segmentation.
  ☆80Updated 2 years ago
• VaticanCameos99 / knowledge-distillation-for-unet
  An implementation of Knowledge distillation for segmentation, to train a small (student) UNet from a larger (teacher) UNet thereby reduci…
  ☆54Updated 5 years ago
• tikutikutiku / kaggle-hubmap
  Kaggle HuBMAP 1st Place Solution
  ☆75Updated 4 years ago
• frgfm / holocron
  PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Oth…
  ☆328Updated last month
• Serge-weihao / CCNet-Pure-Pytorch
  Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
  ☆185Updated 4 years ago