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RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
March 22, 2024, 4:45 a.m. | Yufan Chen, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ruiping Liu, Philip Torr, Rainer Stiefelhagen
cs.CV updates on arXiv.org arxiv.org
Abstract: Before developing a Document Layout Analysis (DLA) model in real-world applications, conducting comprehensive robustness testing is essential. However, the robustness of DLA models remains underexplored in the literature. To address this, we are the first to introduce a robustness benchmark for DLA models, which includes 450K document images of three datasets. To cover realistic corruptions, we propose a perturbation taxonomy with 36 common document perturbations inspired by real-world document processing. Additionally, to better understand document …
abstract analysis applications arxiv benchmark benchmarking cs.cv dla document however literature robustness testing type world
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