#Semantic-segmentation
Showing 60 of 151 repositories tagged #semantic-segmentation, ranked by stars
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVPR 2026 论文和开源项目合集
Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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
[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.
Gluon CV Toolkit
A curated list of awesome data labeling tools
Semantic Segmentation Architectures Implemented in PyTorch
Sandbox for training deep learning networks
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
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
An extension of Open3D to address 3D Machine Learning tasks
An open source library and framework for deep learning on satellite and aerial imagery.
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
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
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Converted CoreML Model Zoo.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch for Semantic Segmentation
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
An out-of-box human parsing representation extractor.
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Neural Network Compression Framework for enhanced OpenVINO™ inference
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
SOTA Semantic Segmentation Models in PyTorch
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
常用的语义分割架构结构综述以及代码复现
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Light-Weight RefineNet for Real-Time Semantic Segmentation
Real-Time Semantic Segmentation in Mobile device
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Understanding Convolution for Semantic Segmentation
DeepLab resnet v2 model in pytorch
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
A list of popular deep learning models related to classification, segmentation and detection problems