Four extensions to FOOTPASS baselines for player-centric ball-action spotting in soccer videos achieve 0.548 Macro F1 on test set and 0.446 on challenge set.
FOOTPASS: A multi-modal multi-agent tactical context dataset for play-by-play action spotting in soccer broadcast videos.Computer Vision and Image Un- derstanding, 269:104790, 2026
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SoccerNet 2026 Player-Centric Ball-Action Spotting:Retraining and Post-Processing Extensions to the FOOTPASS Baselines
Four extensions to FOOTPASS baselines for player-centric ball-action spotting in soccer videos achieve 0.548 Macro F1 on test set and 0.446 on challenge set.