548 Open source projects that are alternatives of or similar to RGBD-semantic-segmentation

Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

📚 A collection of papers about Referring Image Segmentation.

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

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

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Deep Learning for Computer Vision (CommE 5052) in NTU

Segmentation models with pretrained backbones. PyTorch.

An extension of Open3D to address 3D Machine Learning tasks

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

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

常用的语义分割架构结构综述以及代码复现

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

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

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

CRF-RNN Keras/Tensorflow version

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.

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

C++ based toolbox for the SUNCG dataset

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

PyTorch implementation of "Pyramid Scene Parsing Network".

Keras BiseNet architecture implementation

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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+

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

train test labels for sunrgbd

Winning solution for the Kaggle TGS Salt Identification Challenge.

Model for document segmentation trained on the midv-500-models dataset.

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

Generic Foreground Segmentation in Images

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

Page to PAGE Layout Analysis Tool

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

Accelerated deep learning R&D

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Generic U-Net Tensorflow implementation for image segmentation

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

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

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Open solution to the TGS Salt Identification Challenge

Image segmentation - general superpixel segmentation & center detection & region growing

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Deeplab for semantic segmentation tasks

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

Video Object Segmentation

all the meta data needed for nyuv2

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