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Related Papers
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
AbstractPre-training of text and layout has proved effective in a variety of visually-rich document understanding tasks due to its effective model architecture and the advantage of large-scale unlabeled scanned/digital-born documents. …...
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
AbstractRecognizing the layout of unstructured digital documents is crucial when parsing the documents into the structured, machine-readable format for downstream applications. Recent studies in Document Layout Analysis usually rely on …...
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
AbstractSequence modeling has demonstrated state-of-the-art performance on natural language and document understanding tasks. However, it is challenging to correctly serialize tokens in form-like documents in practice due to their variety …...