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…
PDF] SuperGlue: Learning Feature Matching With Graph Neural Networks
Review: ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks, by Chu Pi, XuLab
SuperGlue CVPR 2020
Remote Sensing, Free Full-Text
Review: SuperGlue: Learning Feature Matching with Graph Neural Networks, by Vinh Quang Tran, XuLab
An evaluation of conventional and deep learning‐based image‐matching methods on diverse datasets - Ji - 2023 - The Photogrammetric Record - Wiley Online Library
Review: Deep mutual Learning. Link to paper…, by Nguyễn Thành Nam
Review: Dual Super-Resolution Learning for Semantic Segmentation, by Vinh Quang Tran, XuLab
Scene text detection — trends in brief, by Chu Pi, XuLab
Sensors, Free Full-Text
Review: Attention Augmented Convolution Networks, by Chu Pi, XuLab
SuperGlue; Learning Feature Matching with Graph Neural Networks (CVPR'20) - Speaker Deck
Scene text detection — trends in brief, by Chu Pi, XuLab
Review: SuperGlue: Learning Feature Matching with Graph Neural Networks, by Vinh Quang Tran, XuLab
R] Latest developments in Graph Neural Networks: A list of recent conference talks : r/MachineLearning