Researchers have introduced SpatialScore, a comprehensive benchmark evaluating multimodal large language models' spatial understanding across various visual data types and question formats. This initiative also includes SpatialCorpus for fine-tuning model performance on spatial tasks and SpatialAgent, a multi-agent system enhancing reasoning capabilities without additional training. These tools provide critical resources for advancing MLLMs towards human-level spatial intelligence.
Read the full article at arXiv cs.CV (Vision)
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