Efficient neural feature detector and descriptor
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
#计算机科学#Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
#计算机科学#Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalabl...
#计算机科学#SuperPoint and SuperGlue with TensorRT. Deploy with C++.
The C++ implementation of SuperPoint
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
ROS wrapper for SuperGlue and SuperPoint models
#计算机科学#Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
OpenCV图像拼接算法集成 SuperPoint 、LightGlue 特征点检测和匹配深度学习模型
#计算机科学#Semantic Feature Points: SuperPoint and GCNv2 feature points test
Combination of monoVO-python & SuperPointPretrainedNetwork
Merge superpoint、lightglue、MixVPR into VINS-FUSION for loop closure with TensorRT
A simple python implemented frame-by-frame visual odometry with SuperPoint feature detector and SuperGlue feature matcher.
Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2