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

Be Driven 🚘

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

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

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

4th place solution in Baidu Autonomous Driving Lane Segmentation

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

Built a real-time lane departure warning system with a monocular camera, using OpenCV.

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Simplest and fastest image and text annotation tool.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

An awesome semantic segmentation model that runs in real time

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Fully convolutional networks for semantic segmentation

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

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

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

Sandbox for training deep learning networks

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

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

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

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

An OpenAI gym wrapper for CARLA simulator

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

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

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Adaptive Affinity Fields for Semantic Segmentation

Python sample codes for robotics algorithms.

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Real-time path planning for vehicles.

DeepLab-LargeFOV implemented in tensorflow

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

Fully Convolutional HarDNet for Segmentation in Pytorch

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Scenarios, tutorials and demos for Autonomous Driving

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

A large-scale dataset for face parsing (AAAI2020)

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

PyTorch implementation of DeepLabv3

Satellite Image Classification using semantic segmentation methods in deep learning

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

SegAN: Semantic Segmentation with Adversarial Learning