XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark

• URL: http://arxiv.org/abs/2504.10258v1
• Date: Mon, 14 Apr 2025 14:19:57 GMT
• Title: XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark
• Authors: Shuai Liu, Youmeng Li, Jizeng Wei,
• Abstract summary: XY-Cut++ is a layout ordering method that integrates pre-mask processing, multi-granularity segmentation, and cross-modal matching.<n>It achieves state-of-the-art performance (98.8 BLEU overall) while maintaining simplicity and efficiency.
• Score: 1.9020548287019097
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Document Reading Order Recovery is a fundamental task in document image understanding, playing a pivotal role in enhancing Retrieval-Augmented Generation (RAG) and serving as a critical preprocessing step for large language models (LLMs). Existing methods often struggle with complex layouts(e.g., multi-column newspapers), high-overhead interactions between cross-modal elements (visual regions and textual semantics), and a lack of robust evaluation benchmarks. We introduce XY-Cut++, an advanced layout ordering method that integrates pre-mask processing, multi-granularity segmentation, and cross-modal matching to address these challenges. Our method significantly enhances layout ordering accuracy compared to traditional XY-Cut techniques. Specifically, XY-Cut++ achieves state-of-the-art performance (98.8 BLEU overall) while maintaining simplicity and efficiency. It outperforms existing baselines by up to 24\% and demonstrates consistent accuracy across simple and complex layouts on the newly introduced DocBench-100 dataset. This advancement establishes a reliable foundation for document structure recovery, setting a new standard for layout ordering tasks and facilitating more effective RAG and LLM preprocessing.

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