AI RESEARCH
Multi-Person Pose Estimation Evaluation Using Optimal Transportation and Improved Pose Matching
arXiv CS.CV
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ArXi:2603.10398v1 Announce Type: new In Multi-Person Pose Estimation, many metrics place importance on ranking of pose detection confidence scores. Current metrics tend to disregard false-positive poses with low confidence, focusing primarily on a larger number of high-confidence poses. Consequently, these metrics may yield high scores even when many false-positive poses with low confidence are detected.