AINeutralarXiv – CS AI · 7h ago6/10
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Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association
Researchers identify a fundamental mismatch between pairwise ranking metrics (AP and FPR-95) commonly used to evaluate multi-view object association models and the actual one-to-one assignment objective these systems aim to solve. The study demonstrates that optimal ranking performance does not guarantee correct assignments, and proposes Sinkhorn-based normalization as a solution to better align evaluation metrics with real-world performance goals.