369 Open source projects that are alternatives of or similar to Randla Net

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

Pytorch code for semantic segmentation using ERFNet

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

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

Winning solution for the Kaggle TGS Salt Identification Challenge.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

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

real-time network architecture for mobile devices and semantic segmentation

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

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

Semantic Segmentation Architectures Implemented in PyTorch

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

🚘 Easiest Fully Convolutional Networks

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

Pixel-wise segmentation on VOC2012 dataset using pytorch.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Gluon CV Toolkit

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

CRF-RNN Keras/Tensorflow version

This repository contains the source code of our work on designing efficient CNNs for computer vision

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

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

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

An out-of-box human parsing representation extractor.

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

BCDU-Net : Medical Image Segmentation

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

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

常用的语义分割架构结构综述以及代码复现

Segmentation models with pretrained backbones. PyTorch.

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

An extension of Open3D to address 3D Machine Learning tasks

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

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

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

DeepLab resnet v2 model in pytorch

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A light-weight, power efficient, and general purpose convolutional neural network

DeepLabv3 built in TensorFlow

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Real-Time 3D Semantic Reconstruction from 2D data

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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.)

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

A semantic segmentation toolbox based on PyTorch