Essays about: "Dokument Layout Analys"

Found 3 essays containing the words Dokument Layout Analys.

  1. 1. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mikaela Funkquist; [2022]
    Keywords : Document Layout Analysis; Newspapers; Object Detection; Faster R-CNN; Deep Learning; Dokument Layout Analys; Tidningar; Objektdetektering; Faster R-CNN; Djupinlärning;

    Abstract : As society is becoming more and more digitized the amount of digital data is increasing rapidly. Newspapers are one example of this, that many Libraries around the world are storing as digital images. READ MORE

  2. 2. Data Collection and Layout Analysis on Visually Rich Documents using Multi-Modular Deep Learning.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mattias Stahre; [2022]
    Keywords : DeepLearning; Machine Learning; Dataset Collection; Annotation; Labeling; Transformer Network; Multi-Modal; Computer Vision; Natural Language Processing; Embedding; LayoutLMv2; DocBank; Djupinlärning; Maskininlärning; Datasamling; Annotering; Märkning; Transformernätverk; Multi-modulär; Datorsyn; Naturlig Språkbehandling; Inbäddning; LayoutLMv2; DocBank;

    Abstract : The use of Deep Learning methods for Document Understanding has been embraced by the research community in recent years. A requirement for Deep Learning methods and especially Transformer Networks, is access to large datasets. READ MORE

  3. 3. Semantic Segmentation of Historical Document Images Using Recurrent Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Jakob Ahrneteg; Dean Kulenovic; [2019]
    Keywords : semantic segmentation; page segmentation; recurrent neural network; layout analysis; semantisk segmentering; dokument segmentering; recurrent neural network; layout analys;

    Abstract : Background. This thesis focuses on the task of historical document semantic segmentation with recurrent neural networks. Document semantic segmentation involves the segmentation of a page into different meaningful regions and is an important prerequisite step of automated document analysis and digitisation with optical character recognition. READ MORE