AI RESEARCH
LED Benchmark: Diagnosing Structural Layout Errors for Document Layout Analysis
arXiv CS.CV
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ArXi:2507.23295v2 Announce Type: replace Recent advancements in Document Layout Analysis through Large Language Models and Multimodal Models have significantly improved layout detection. However, despite these improvements, challenges remain in addressing critical structural errors, such as region merging, splitting, and missing content. Conventional evaluation metrics like IoU and mAP, which focus primarily on spatial overlap, are insufficient for detecting these errors.