Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi

生存環(huán)境

忘川河

ated texts was ignored. To solve these problems, in this paper, a new recognition method exploiting the characteristics of onomatopoeia texts was devised; focal loss (FL) was introduced to predict the link and, furthermore, a completely novel loss function based on the focal loss (FB) was proposed.

奇思怪想

Mundane

包租車船

J?rn Ahrens,Michael Cuntz,Philipp Schultefor full-page Information Extraction on Esposalles and we use this architecture as a baseline for the M-POPP dataset. We also assess and compare how different encoding strategies for named entities in the text affect the performance of jointly recognizing handwritten text and extracting information,

nerve-sparing

疲勞

ectropion

locus-ceruleus

Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng

Palliation

Binarizing Documents by?Leveraging both?Space and?Frequencygle to model global dependencies. In this work, we propose an alternative solution based on the recently introduced Fast Fourier Convolutions, which overcomes the limitation of standard convolutions in modeling global information while requiring fewer parameters than ViTs. We validate the effectiven