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

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

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

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

C++ based toolbox for the SUNCG dataset

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Sandbox for training deep learning networks

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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

SegSort: Segmentation by Discriminative Sorting of Segments

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

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

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

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

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

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

An OpenAI gym wrapper for CARLA simulator

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

Satellite Image Classification using semantic segmentation methods in deep learning

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

Lidar Obstacle Detection

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

PyTorch for Semantic Segmentation

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

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.

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Adaptive Affinity Fields for Semantic Segmentation

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Python sample codes for robotics algorithms.

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

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

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Real-time path planning for vehicles.

CRF-RNN PyTorch version http://crfasrnn.torr.vision

DeepLab-LargeFOV implemented in tensorflow

Tensorflow implementation : U-net and FCN with global convolution

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

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

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/>.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Fully Convolutional HarDNet for Segmentation in Pytorch

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

A large-scale dataset for face parsing (AAAI2020)

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

Deep learning applied to georeferenced datasets

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

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

PyTorch implementation of DeepLabv3

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

An awesome list of self-driving cars

image (semantic segmentation) instance segmentation by darknet or yolo

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

SegAN: Semantic Segmentation with Adversarial Learning

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.