There are 75 repositories under semantic-segmentation topic.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVPR 2023 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).
:metal: awesome-semantic-segmentation
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.
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.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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
A curated list of awesome data labeling tools
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 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)
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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.
PyTorch for Semantic Segmentation
Using modified BiSeNet for face parsing in PyTorch
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Web labeling tool for bitmap images and point clouds
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
ICCV 2021 论文和开源项目合集
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
3D U-Net model for volumetric semantic segmentation written in pytorch
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator