qubvel / segmentation_modelsLinks
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
☆4,914Updated last year
Alternatives and similar repositories for segmentation_models
Users that are interested in segmentation_models are comparing it to the libraries listed below
Sorting:
- Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.☆3,007Updated last year
- Keras implementation of Deeplab v3+ with pretrained weights☆1,375Updated last year
- Classification models trained on ImageNet. Keras.☆1,233Updated 3 years ago
- unet for image segmentation☆4,888Updated last year
- awesome-semantic-segmentation☆10,810Updated 4 years ago
- A collection of loss functions for medical image segmentation☆3,998Updated 2 years ago
- Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!☆2,523Updated 4 years ago
- Semantic Segmentation Architectures Implemented in PyTorch☆3,412Updated 2 years ago
- Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.☆11,312Updated last month
- [IEEE TMI] Official Implementation for UNet++☆2,587Updated 5 months ago
- Implementation of EfficientNet model. Keras and TensorFlow Keras.☆2,100Updated 2 years ago
- Generic U-Net Tensorflow implementation for image segmentation☆1,922Updated 5 years ago
- UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset☆1,063Updated 3 years ago
- Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation☆880Updated last year
- Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset☆5,064Updated 2 years ago
- Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.☆3,064Updated 2 years ago
- The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semant…☆3,311Updated 3 years ago
- Semantic segmentation models, datasets and losses implemented in PyTorch.☆1,810Updated 11 months ago
- DeepLab v3+ model in PyTorch. Support different backbones.☆3,004Updated last year
- Sandbox for training deep learning networks☆3,022Updated last year
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,040Updated 5 years ago
- Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.☆2,011Updated last year
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,564Updated 4 months ago
- Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNe…☆3,045Updated 3 years ago
- Annotate quickly images.☆1,453Updated 3 years ago
- Paper and implementation of UNet-related model.☆2,580Updated 5 years ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,269Updated 7 months ago
- PyTorch for Semantic Segmentation☆1,737Updated 6 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,408Updated last year
- A simple, fully convolutional model for real-time instance segmentation.☆5,212Updated 5 months ago