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IEEE/ICACT20240477 Slide.04        [Big Slide]       [YouTube]	Oral Presentation
	Numerous strategies, such as deep learning methods like CNNs, RNNs, RNTNs, and RCNNs, have been investigated. A hybrid technique for structured document interpretation called Layout Transformer (LiLT) model is covered in a research. To extract text bounding boxes and contents from input document pictures, LiLT uses commercial OCR engines. Another research that compared LayoutLM to Donut found that LayoutLM performed better in picture categorization on a variety of datasets. Subsequent investigations explore the integration of textual and visual input into a single classification task, attaining great performance using the publicly available dataset RVL-CDIP.

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