386 Open source projects that are alternatives of or similar to Pytorch Semantic Segmentation

This is a fully convolutional neural net exercise to detect houses from aerial images.

🚘 Easiest Fully Convolutional Networks

Semantically segment the road in the given image.

Tensorflow implementation : U-net and FCN with global convolution

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

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Deep and Machine Learning for Microscopy

Semantic Segmentation Architectures Implemented in PyTorch

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Convolutional Neural Networks for Cardiac Segmentation

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

Keras implementation of paper by the same name

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

PSPNet in Chainer

DeepLab-ResNet rebuilt in TensorFlow

segmentation repo using pytorch

📚 A collection of papers about Referring Image Segmentation.

The deep semantic segmentation network for lane segmentation.

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.

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

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

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

Segmentation of ID Cards using Semantic Segmentation

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

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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

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

Pytorch implementation of GCN architecture for semantic segmentation

Tools to Design or Visualize Architecture of Neural Network

Deep learning applied to georeferenced datasets

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.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

CNNs for semantic segmentation using Keras library

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

Semantic segmentation on iPhone using ESPNetv2

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

A curated list of awesome data labeling tools

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

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

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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

The first fully convolutional metric learning for geometric/semantic image correspondences.

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

The ROS Package of Mask R-CNN for Object Detection and Segmentation

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

FrostNet: Towards Quantization-Aware Network Architecture Search

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

🤘 awesome-semantic-segmentation

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