GitHub - google-research-datasets/vrdu: We identify the …
We identify the desiderata for a comprehensive benchmark and propose Visually Rich Document Understanding (VRDU). VRDU contains two datasets that represent several challenges: rich …
VRDU: A Benchmark for Visually-rich Document Understanding
2022年11月15日 · VRDU contains two datasets that represent several challenges: rich schema including diverse data types as well as hierarchical entities, complex templates including …
Visually-Rich Document understanding—— 阅读笔记 - CSDN博客
在本文中，我们提出 LayoutLM 来联合建模跨扫描文档图像的文本和布局信息之间的交互，这有利于大量真实世界的文档图像理解任务，例如从扫描文档中提取信息。 此外，我们还利用图像 …
Understanding visually-rich business documents to extract struc-tured data and automate business workflows has been receiving attention both in academia and industry. Although …
论文阅读：Enhancing Visually-Rich Document ... - CSDN博客
2023年10月1日 · 富文本文档理解（VRDU, Visually-Rich Document Understanding）的目标是分析多种具有丰富结构和复杂格式的扫描/电子文档。 这可以在广泛的文本相关场景中提供帮 …
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning …
2025年3月10日 · To solve these problems, we propose a unified Knowledge-aware prompt-tuning framework for Visual-rich Document Understanding (KnowVrDU) to enable broad utilization for …
[2410.10471] ReLayout: Towards Real-World Document …
2024年10月14日 · Recent approaches for visually-rich document understanding (VrDU) uses manually annotated semantic groups, where a semantic group encompasses all semantically …
Advances in document understanding - Google Research
2023年8月9日 · In “ VRDU: A Benchmark for Visually-rich Document Understanding ”, presented at KDD 2023, we announce the release of the new Visually Rich Document Understanding …
SAE MOBILUS - SAE International
2023年4月11日 · One capability is the Active Brake Assist (ABA), which uses the Video Radar Decision Unit (VRDU) to communicate with the front bumper-mounted radar to provide …
Bounding Box Normalization for LayoutLMv3 on VRDU Dataset #4 …
2024年10月7日 · I am working with the VRDU dataset, and I am attempting to normalize the bounding boxes for use with LayoutLMv3. In your paper, I see that OCR is used, and bounding …