semantic-segmentation

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.

🤘 awesome-semantic-segmentation

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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.

[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

Gluon CV Toolkit

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

Official PyTorch implementation of SegFormer

Sandbox for training deep learning networks

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)