369 Open source projects that are alternatives of or similar to Light Weight Refinenet

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

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

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Volumetric Fusion of Multiple Semantic Labels and Masks

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A pointnet++ fork, with focus on semantic segmentation of differents datasets

High-level batteries-included neural network training library for Pytorch

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Real time semantic slam in ROS with a hand held RGB-D camera

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

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.)

Building footprint segmentation from satellite and aerial imagery

Winning solution for the Kaggle TGS Salt Identification Challenge.

Deep Learning for Computer Vision (CommE 5052) in NTU

Pytorch for Segmentation

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

real-time network architecture for mobile devices and semantic segmentation

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

This repository contains the reference implementation for our proposed Convolutional CRFs.

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Pytorch code for semantic segmentation using ERFNet

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

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

segmentation paper reading notes

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

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Semantic Segmentation Architectures Implemented in PyTorch

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

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

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

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

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Semantically segment the road in the given image.

🚘 Easiest Fully Convolutional Networks

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Understanding Convolution for Semantic Segmentation

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Reimplementation of DeepLabV3

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

A semantic segmentation toolbox based on PyTorch

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

DeepLab resnet v2 model in pytorch

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

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

Code for https://arxiv.org/abs/1611.10080

DeepLab-ResNet rebuilt in Pytorch