Review: SuperGlue: Learning Feature Matching with Graph Neural

In this paper, the authors introduced SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points. Many works on deep…

SuperGlue-based accurate feature matching via outlier filtering

A Practical Tutorial on Graph Neural Networks

Review: Deep mutual Learning. Link to paper…, by Nguyễn Thành Nam

GLMNet: Graph learning-matching convolutional networks for feature matching - ScienceDirect

GitHub - bimalka98/Stitch-images-using-SuperGlue-GNN: Stitch images using SuperGlue features instead of mouse-clicked points. Compute the homography through RANSAC or MSAC. Stitch more than two images using mouse-clicked points. Handle the seams

HTMatch: An efficient hybrid transformer based graph neural network for local feature matching - ScienceDirect

Review: Deep mutual Learning. Link to paper…, by Nguyễn Thành Nam

Remote Sensing, Free Full-Text

Remote Sensing, Free Full-Text

Review: S2IGAN. SPEECH-TO-IMAGE GENERATION via…, by Nguyenhoang, XuLab

GitHub - ucuapps/OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching