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

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

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

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

Summary of RGBT SOD and SS.

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

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

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Machine Learning Project to identify an ID Card on an image

PyTorch implementation of "Pyramid Scene Parsing Network".

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

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

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

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

Develop kit for CRUW dataset

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

Papers on 3D Object Detection for Autonomous Driving

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

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

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

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

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

segmentation paper reading notes

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Autonomous Driving Simulator for the Portuguese Robotics Open

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

基于语义分割的矿区无人机影像地物提取实验

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Self-driving RC Car ROS Software

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

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

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

Reimplementing cool papers in PyTorch...

A flexible Python front-end inference SDK based on TensorRT

The devkit of the nuPlan dataset.

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

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

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).

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

U-NET Semantic Segmentation model for Mobile

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Volumetric Fusion of Multiple Semantic Labels and Masks

AttaNet for real-time semantic segmentation.

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

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

HyperSeg - Official PyTorch Implementation

[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.

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

Autonomous RC Car using Neural Networks, Python and Open CV

ROS & Gazebo project for 1/10th scale self-driving race cars

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

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

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

Semantically segment the road in the given image.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.