most citedClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 5 cited

ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching

Yan Shi, Jun-Xiong Cai, Yoli Shavit +3

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…