AI RESEARCH
SoccerLens: Grounded Soccer Video Understanding Beyond Accuracy
arXiv CS.CV
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ArXi:2605.09598v1 Announce Type: new Vision-language models (VLMs) have recently shown strong potential in soccer video understanding. However, given the high complexity of soccer videos due to large viewpoint variations, rapid shot transitions, and cluttered scenes, it remains unclear on whether VLMs rely on meaningful visual evidence or exploit spurious correlations and shortcut learning. Existing evaluation protocols focus primarily on classification accuracy and do not assess visual grounding. To address this limitation, we