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…

Graph Neural Networks - velog

Transformers in Computer Vision: why not ?, by Duong Nguyen

Review: Dual Super-Resolution Learning for Semantic Segmentation, by Vinh Quang Tran, XuLab

Student's recap: Cross-Iteration Batch Normalization., by Caominhnhatver, 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

Image Matching from Handcrafted to Deep Features: A Survey

Semantic Segmentation using mmsegmentation, by minhduc

SuperGlue-based accurate feature matching via outlier filtering

R] Latest developments in Graph Neural Networks: A list of recent conference talks : r/MachineLearning

Vinh Quang Tran – Medium

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

XuLab – Medium

GPCRmd — what a work!. Published to Nature Method 2020, by Chu Pi, XuLab