SoccerRef-Agents: AI Soccer Refereeing Agents
Multi-agent benchmark + RAG framework beats MLLMs on soccer fouls (code soon)
30-Second TL;DR
What Changed
SoccerRefBench: 1,200 referee questions + 600 foul video clips benchmark
Why It Matters
Advances explainable AI in sports refereeing, bridging vision and rules. Enables scalable multi-agent systems for real-time decisions. Boosts research in multimodal agents and embodied AI applications.
What To Do Next
Access SoccerRefBench dataset upon release to evaluate your multi-modal agent on refereeing tasks.
Key Points
- •SoccerRefBench: 1,200 referee questions + 600 foul video clips benchmark
- •RefKnowledgeDB: Vector DB from Laws of the Game + case database
- •Multi-agent architecture with cross-modal RAG for visual-text reasoning
- •Outperforms MLLMs in foul decision accuracy and explanations
- •Code, benchmarks, databases to be publicly released
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Original source: ArXiv AI ↗
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