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

A Kitti Road Segmentation model implemented in tensorflow.

Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Machine Learning Project to identify an ID Card on an image

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

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.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

DISCONTINUED - MIGRATED TO TIANRACER - A Low cost Autonomous Driving Car Educational and Competition Kit

A summary and list of open source 3D multi object tracking and datasets at this stage.

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

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Adaptive Affinity Fields for Semantic Segmentation

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Web labeling tool for bitmap images and point clouds

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

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

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Autonomous Driving Simulator for the Portuguese Robotics Open

Python sample codes for robotics algorithms.

基于语义分割的矿区无人机影像地物提取实验

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Self-driving RC Car ROS Software

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

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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

A flexible Python front-end inference SDK based on TensorRT

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

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:

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

U-NET Semantic Segmentation model for Mobile

Real-time path planning for vehicles.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

A minimalist environment for decision-making in autonomous driving

AttaNet for real-time semantic segmentation.

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

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

HyperSeg - Official PyTorch Implementation

DeepLab-LargeFOV implemented in tensorflow

Autonomous RC Car using Neural Networks, Python and Open CV

Real-Time Semantic Segmentation in Mobile device

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

Tensorflow implementation : U-net and FCN with global convolution

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

常用的语义分割架构结构综述以及代码复现

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