Graph matching and similarity constitute foundational operations in pattern recognition, underpinning tasks from image analysis to bioinformatics. A graph models data as nodes representing entities ...

Graph matching constitutes a fundamental class of techniques for establishing correspondences between structured entities in images, where keypoints or regions are represented as nodes and their ...

为解决图像关键点匹配中因遮挡、视角变化导致的噪声对应问题，研究团队提出首个基于元学习的Meta Matching Correction for noisy Graph Matching(MCGM)框架。通过Meta Correcting Network(MCN)融合全局特征与几何一致性信息生成置信度评分，采用双层优化实现动态校正。实验表明 ...