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

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

The devkit of the nuPlan dataset.

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

SegSort: Segmentation by Discriminative Sorting of Segments

PyTorch implementation of "Pyramid Scene Parsing Network".

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Papers on 3D Object Detection for Autonomous Driving

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

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A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

A simpler way of reading and augmenting image segmentation data into TensorFlow

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

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.

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

PyTorch implementation of PSPNet

Develop kit for CRUW dataset

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression

segmentation paper reading notes

An OpenAI gym wrapper for CARLA simulator

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

unet for rgb images semantic segmentation

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Reimplementing cool papers in PyTorch...

TFslim based semantic segmentation models, modular&extensible boutique design

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

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

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

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