semantic-segmentation

Label Studio is a multi-type data labeling and annotation tool with standardized output format

CVPR 2022 论文和开源项目合集

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

🤘 awesome-semantic-segmentation

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.

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.

Gluon CV Toolkit

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Caffe: a fast open framework for deep learning.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Semantic Segmentation Architectures Implemented in PyTorch

Tools to Design or Visualize Architecture of Neural Network

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

A curated list of awesome data labeling tools

Sandbox for training deep learning networks

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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