2022
ClusterGNN: Cluster-Based Coarse-To-Fine Graph Neural Network for Efficient Feature Matching
CVPR 2022poster
Graph Neural Networks (GNNs) with attention have been successfully applied for learning visual feature matching. However, current methods learn with complete graphs, resulting in a quadratic complexity in the number of features. Motivated by a prior observation that self- and cross- attention matric…