AI RESEARCH
Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association
arXiv CS.AI
•
ArXi:2606.02022v1 Announce Type: cross 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.