937 Open source projects that are alternatives of or similar to Refinenet

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

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+

CRF-RNN Keras/Tensorflow version

Understanding Convolution for Semantic Segmentation

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

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

📚 A collection of papers about Referring Image Segmentation.

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

A paper list of RGBD semantic segmentation (processing)

Page to PAGE Layout Analysis Tool

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

Semantic Scene Completion

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

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

Keras BiseNet architecture implementation

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.

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

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

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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"

U-Net: Convolutional Networks for Biomedical Image Segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

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

Deep Learning for Computer Vision (CommE 5052) in NTU

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

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

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

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.)

Winning solution for the Kaggle TGS Salt Identification Challenge.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

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

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.

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

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

常用的语义分割架构结构综述以及代码复现

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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

Segmentation models with pretrained backbones. PyTorch.

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

PyTorch implementation of the YOLO (You Only Look Once) v2

A curated list of awesome links and software libraries that are useful for robots.

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

PyTorch implementation of UNet++ (Nested U-Net).

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

speech to text benchmark framework

Experimental keras implementation of novel neural network structures

Gorgonia is a library that helps facilitate machine learning in Go.

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Training code for facial landmark detection based on deep convolutional neural network.

Javascript image annotation tool based on image segmentation.

Pytorch for Segmentation

Hierarchical Object Detection with Deep Reinforcement Learning

TensorFlow documentation