There are 98 repositories under semantic-segmentation topic.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVPR 2024 论文和开源项目合集
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
:metal: awesome-semantic-segmentation
Segmentation models with pretrained backbones. PyTorch.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Tools to Design or Visualize Architecture of Neural Network
A curated list of awesome data labeling tools
Semantic Segmentation Architectures Implemented in PyTorch
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
ICCV 2023 论文和开源项目合集
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Using modified BiSeNet for face parsing in PyTorch
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
An open source library and framework for deep learning on satellite and aerial imagery.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
3D U-Net model for volumetric semantic segmentation written in pytorch
Web labeling tool for bitmap images and point clouds
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch for Semantic Segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey