Shypd.aiThe largest open index of AI toolsSuperGluePretrainedNetwork is an Open Source & Models tool that provides pretrained weights and PyTorch code for learning feature matching with Graph Neural Networks. It is a CVPR 2020 research project from Magic Leap.
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SuperGluePretrainedNetwork is a research project from Magic Leap, presented at CVPR 2020, focusing on learning feature matching using Graph Neural Networks. The core of the project is the SuperGlue network, which integrates a Graph Neural Network with an Optimal Matching layer. This architecture is specifically designed to perform matching tasks on two distinct sets of sparse image features. The repository offers both the PyTorch code implementation and pretrained weights, making it accessible for researchers and developers interested in computer vision and feature matching applications. It serves as a valuable resource for those looking to implement or build upon advanced feature matching techniques.
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