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Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association
arXiv:2606.02022v1 Announce Type: new Abstract: Multi-view object association is an important computer vision problem that underlies many multi-camera perception tasks. While this task is naturally formulated as a constrained one-to-one matching problem, recent works heavily rely on pairwise ranking metrics like AP and FPR-95 for model evaluation. We highlight a fundamental mismatch between these metrics and the actual assignment objective.