alexander-kuptsov's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
rpautrat/SuperPoint
Efficient neural feature detector and descriptor
asus4/tf-lite-unity-sample
TensorFlow Lite Samples on Unity
microsoft/singleshotpose
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
changhao-chen/deep-learning-localization-mapping
A collection of deep learning based localization models
NVlabs/geomapnet
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
Sachini/ronin
RoNIN: Robust Neural Inertial Navigation in the Wild
ilmonteux/logohunter
Deep learning tool to find brand logos in everyday pictures
Wangjing1551/LogoDet-3K-Dataset
reckonMe/reckonMe
Live inertial navigation, proximity detection and collaborative localisation on a mobile device (iOS).
jhultman/dead-reckoning
Dead reckoning navigation using a smartphone magnetometer.
rairyuu/PDR-with-Map-Matching
A solution for indoor positioning. Based on PDR. With map matching. Using chest mounted IMU. Got 1st place in IPIN 2017 competition Track 2. Got 2nd place in IPIN 2018 competition Track 2 (0.2m worse than 1st).
nesl/tinyodom
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
fedeizzo/camera-pose-estimation
A Deep Learning Approach to Camera Pose Estimation
georgelowe/VR-Object-Tracking
This project is my implementation of camera based object tracking for a VR experience on the Oculus Quest
AmbiensVR/ARIndoorNavigation
anisghaoui/humolire
HuMoLiRe is a Pedestrian Dead-Reckoning Particle Filter Map-aided system that leverages human motion likelihood in indoor spaces to estimate their position. This repository is the dataset and software published with its paper.