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Apr, 2022
ClusterGNN：基于聚类的粗到细图神经网络，用于高效特征匹配
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
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Yan Shi, Jun-Xiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng...
TL;DR
使用自适应聚类模块将关键点分成不同的子图，从而实现降低冗余的连通性，减少运行时间和内存使用，同时在各种计算机视觉任务上具有竞争性的性能。
Abstract
graph neural networks
(GNNs) with
attention
have been successfully applied for learning visual
feature matching
. However, current methods
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