Alternatives and similar repositories for Post-Processing-of-Image-Segmentation-using-CRF:

Users that are interested in Post-Processing-of-Image-Segmentation-using-CRF are comparing it to the libraries listed below

• yiskw713 / boundary_loss_for_remote_sensing
  Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"
  ☆100Updated 4 years ago
• mkisantal / backboned-unet
  Build U-Nets for segmentation from pre-trained TorchVision models.
  ☆90Updated 5 years ago
• camlaedtke / segmentation_pytorch
  Simple image segmentation pipeline in pytorch, using HRNet and SegFormer models
  ☆84Updated 2 years ago
• linhaoqi027 / SEG-GRAD-CAM
  pytorch implementation of SEG-GRAD-CAM,which based on grad-cam
  ☆51Updated 4 years ago
• IanTaehoonYoo / semantic-segmentation-pytorch
  Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
  ☆85Updated 4 years ago
• mlyg / unified-focal-loss
  ☆155Updated 2 years ago
• kiraving / SegGradCAM
  SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
  ☆98Updated last year
• hsiangyuzhao / Segmentation-Metrics-PyTorch
  Calculate common metrics in semantic segmentation, PyTorch Implementation
  ☆36Updated 4 years ago
• oikosohn / compound-loss-pytorch
  Compound loss for PyTorch
  ☆45Updated 2 years ago
• DebeshJha / ResUNetPlusPlus-with-CRF-and-TTA
  Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
  ☆125Updated last year
• Bala93 / Multi-task-deep-network
  Usage of Multi-task deep learning network for semantic segmentation in medical images
  ☆128Updated 4 years ago
• james128333 / HarDNet-MSEG
  ☆134Updated 3 years ago
• khdlr / HED-UNet
  Simultaneous Semantic Segmentation and Edge Detection
  ☆95Updated last year
• nizhenliang / RAUNet
  RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments (ICONIP19)
  ☆52Updated 4 years ago
• rezazad68 / transdeeplab
  TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
  ☆76Updated 2 years ago
• sunjesse / shape-attentive-unet
  Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf pub…
  ☆96Updated 3 years ago
• kochlisGit / Unet3-Plus
  Clean Implementation of Unet3+ and validation on Cityscapes dataset.
  ☆31Updated last year
• maxvfischer / keras-image-segmentation-loss-functions
  Binary and multiclass image segmentation loss functions implemented in Keras
  ☆62Updated 4 years ago
• France1 / unet-multiclass-pytorch
  Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation
  ☆58Updated 4 years ago
• dingmyu / Pytorch-Topology-Aware-Delineation
  A pytorch implementation of "Beyond the Pixel-Wise Loss for Topology-Aware Delineation"
  ☆48Updated 6 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 month
• ChoiDM / pytorch-deeplabv3plus-3D
  Deeplabv3 plus 3D version (in pytorch)
  ☆35Updated 5 years ago
• rezazad68 / TMUnet
  Contextual Attention Network: Transformer Meets U-Net
  ☆95Updated 2 years ago
• hasibzunair / sharp-unets
  [CIBM'2021] Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
  ☆26Updated 3 years ago
• leanderloew / Semi-Supervised-Segmentation-Pytorch
  A repository for semi supervised image segmentation using Mean Teacher
  ☆29Updated 5 years ago
• SHI-Labs / SGL-Retinal-Vessel-Segmentation
  [MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1…
  ☆106Updated 2 years ago
• yhygao / UTNet
  Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
  ☆188Updated last year
• gasparian / multiclass-semantic-segmentation
  Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
  ☆120Updated 6 months ago
• jlcsilva / segmentation_models.pytorch
  Segmentation models with pretrained backbones. PyTorch.
  ☆33Updated 2 years ago
• leftthomas / GatedSCNN
  A PyTorch implementation of Gated-SCNN based on ICCV 2019 paper "Gated-SCNN: Gated Shape CNNs for Semantic Segmentation"
  ☆29Updated 4 years ago