AI RESEARCH
The Joint Gromov Wasserstein Objective for Multiple Object Matching
arXiv CS.CV
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ArXi:2511.16868v2 Announce Type: replace The Gromo-Wasserstein (GW) distance serves as a powerful tool for matching objects in metric spaces. However, its traditional formulation is constrained to pairwise matching between single objects, limiting its utility in scenarios and applications requiring multiple-to-one or multiple-to-multiple object matching. In this paper, we