504 Open source projects that are alternatives of or similar to Segmentation

Real-Time 3D Semantic Reconstruction from 2D data

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

Pixel-wise segmentation on VOC2012 dataset using pytorch.

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

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)

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

MATLAB sample codes for mobile robot navigation

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

FrostNet: Towards Quantization-Aware Network Architecture Search

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

An out-of-box human parsing representation extractor.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

BCDU-Net : Medical Image Segmentation

Fully convolutional networks for semantic segmentation

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

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

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Segmentation models with pretrained backbones. PyTorch.

Waymo Open Dataset

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

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

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

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

eCAL - enhanced Communication Abstraction Layer

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Semantic Segmentation Architectures Implemented in PyTorch

DeepLab-ResNet rebuilt in TensorFlow

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

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

A path planning algorithm based on Hybrid A* for trailer truck

segmentation repo using pytorch

DeepLabv3 built in TensorFlow

C++ based toolbox for the SUNCG dataset

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

MonoLayout: Amodal Scene Layout from a single image

Summaries of papers on machine learning, computer vision, autonomous robots etc.

Develop production ready deep learning code, deploy it and scale it

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

The deep semantic segmentation network for lane segmentation.

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Ros package for basic autonomous lane tracking and object detection

DeepLab-ResNet rebuilt in Pytorch

Sandbox for training deep learning networks

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

Semantic segmentation on iPhone using ESPNetv2

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

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

A curated list of awesome data labeling tools

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Papers and Datasets about Point Cloud.

embedding and grouping pixels into boundary, proposal, segment and object instance.

3d bounding box estimation from monocular image based on 2d bounding box