There are 114 repositories under semantic-segmentation topic.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVPR 2025 论文和开源项目合集
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
:metal: awesome-semantic-segmentation
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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.
Tools to Design or Visualize Architecture of Neural Network
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
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)
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
ICCV 2025 论文和开源项目合集
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Using modified BiSeNet for face parsing in PyTorch
3D U-Net model for volumetric semantic segmentation written in pytorch
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.
Web labeling tool for bitmap images and point clouds
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch for Semantic Segmentation