Top 370 semantic-segmentation open source projects

Collection of computer vision models, ready to be included in a JVM project

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

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

SegSort: Segmentation by Discriminative Sorting of Segments

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

train test labels for sunrgbd

A simpler way of reading and augmenting image segmentation data into TensorFlow

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

RefineNet-101 VOC in PyTorch

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

lightweight and efficient cnn for semantic segmentation, my blog address:

PyTorch for Semantic Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Deep Learning sample programs using PyTorch in C++

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Tensorflow implementation : U-net and FCN with global convolution

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

Deep learning applied to georeferenced datasets

📚 A collection of papers about Referring Image Segmentation.

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

End-to-end image segmentation kit based on PaddlePaddle.

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

FrostNet: Towards Quantization-Aware Network Architecture Search

An open source framework for deep learning on satellite and aerial imagery.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

PSPNet in Chainer

DeepLab-ResNet rebuilt in TensorFlow

Tools to Design or Visualize Architecture of Neural Network

segmentation repo using pytorch

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

The deep semantic segmentation network for lane segmentation.

CNNs for semantic segmentation using Keras library

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Semantic segmentation on iPhone using ESPNetv2

Segmentation of ID Cards using Semantic Segmentation

A curated list of awesome data labeling tools

Pytorch implementation of GCN architecture for semantic segmentation