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  1. arXiv

    A frozen Sapiens pose foundation model detects climbing hold usage without climbing-specific training, reaching 90.2% event F1

    The work proposes a training-free method that uses fingertip and toe keypoints from a frozen Sapiens pose foundation model, combined with a per-frame proximity test against annotated holds, per-limb mutual exclusion, and a short temporal-persistence rule, to detect which holds a climber uses and when; on the The Way Up dataset (22 videos, 10 athletes, two routes) it reaches an event F1 of 90.2% on a held-out split (89.8% under leave-one-participant-out cross-validation) and 79.9% over all 22 videos at any temporal overlap, performs best on footholds (F1 89.8% overall, 96.

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