wenbin-hu's Stars
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
cvg/LightGlue
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
onnx/tutorials
Tutorials for creating and using ONNX models
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
flann-lib/flann
Fast Library for Approximate Nearest Neighbors
uzh-rpg/rpg_svo_pro_open
ZhangGe6/onnx-modifier
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
hku-mars/FAST-LIVO
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
hku-mars/FAST-LIVO2
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
JiawangBian/GMS-Feature-Matcher
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
verlab/accelerated_features
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
robotics-survey/Awesome-Robotics-Foundation-Models
HRNet/Lite-HRNet
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
eric-yyjau/pytorch-superpoint
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
cvg/GlueStick
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
SJTU-ViSYS/Ground-Fusion
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
cavalli1234/AdaLAM
AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.
SJTU-ViSYS/FeatureBooster
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)
Broad-sky/feature-detection-matching-algorithm
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
zjhthu/OANet
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
whoisraibolt/Feature-Detection-and-Matching
Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
vdvchen/SGMNet
Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021
SJTU-ViSYS/M2DGR-plus
Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)
robintzeng/open_vins_with_superpoint
Openvins with the learning based feature extractor -- Superpoint
MetaSLAM/CyberGPT
This repo is based on AutoGPT for General Mobile Robotics.
ErcBunny/open_vins
[TUD AE4270] SuperPoint & SuperGlue on OpenVINS
uzh-rpg/uzh_fpv_open
Repo to accompany the UZH FPV dataset
ke-li/dci-knn
Fast k-Nearest Neighbour Search using Dynamic Continuous Indexing (DCI)
iwyoo/kd_tree
A simple kd-tree implementation with C++ STL for Best Bin First search algorithm.