369 Open source projects that are alternatives of or similar to Pytorch Segmentation Toolbox

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

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

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

Pixel-wise segmentation on VOC2012 dataset using pytorch.

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

Gluon CV Toolkit

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CRF-RNN Keras/Tensorflow version

Segmentation models with pretrained backbones. PyTorch.

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

Real-Time 3D Semantic Reconstruction from 2D data

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PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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

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

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

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常用的语义分割架构结构综述以及代码复现

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

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

An extension of Open3D to address 3D Machine Learning tasks

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

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

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

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

🚘 Easiest Fully Convolutional Networks

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

A semantic segmentation toolbox based on PyTorch

Powerful and efficient Computer Vision Annotation Tool (CVAT)

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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

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

Real-Time Semantic Segmentation in Mobile device

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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

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.)

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

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

Winning solution for the Kaggle TGS Salt Identification Challenge.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

real-time network architecture for mobile devices and semantic segmentation

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

Pytorch code for semantic segmentation using ERFNet

Understanding Convolution for Semantic Segmentation

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 for Segmentation

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

Light-Weight RefineNet for Real-Time Semantic Segmentation

Semantic Segmentation Architectures Implemented in PyTorch

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

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Semantic segmentation models, datasets and losses implemented in PyTorch.

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

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

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

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