379 Open source projects that are alternatives of or similar to Swin-Transformer-Semantic-Segmentation

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

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

PyTorch implementation of "Pyramid Scene Parsing Network".

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Official PyTorch implementation of SegFormer

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

SOTA Semantic Segmentation Models in PyTorch

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

Paper notes in deep learning/machine learning and computer vision

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Implemetation of Pyramid Scene Parsing Network in Pytorch

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

Semantic Segmentation Models in Pytorch

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Kidney Tumor Segmentation Challenge 2019

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

4th place solution in Baidu Autonomous Driving Lane Segmentation

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

2D and 3D UNet implementation in PyTorch.

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Caffe: a fast open framework for deep learning.

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

[ICLR2022] official implementation of UniFormer

Cell Detection with PyTorch.

A PaddlePaddle version image model zoo.

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Implementation details for EDANet

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

TensorFlow implementation of LinkNet

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

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Cut and paste augmentation for object detection and instance segmentation

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

The implementation of 3D-UNet using PyTorch

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

This is an official implementation for "Video Swin Transformers".

A paper list of RGBD semantic segmentation (processing)

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

This is the example implementation of UNet model for semantic segmentations

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

A list of popular deep learning models related to classification, segmentation and detection problems

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Semantic Segmentation using Fully Convolutional Neural Network.

A framework for developing neural network models for 3D image processing.

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick