生存环境
发表于 2025-3-28 16:24:00
http://reply.papertrans.cn/29/2849/284810/284810_41.png
忘川河
发表于 2025-3-28 19:07:49
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
发表于 2025-3-29 02:18:07
http://reply.papertrans.cn/29/2849/284810/284810_43.png
Mundane
发表于 2025-3-29 04:10:10
http://reply.papertrans.cn/29/2849/284810/284810_44.png
包租车船
发表于 2025-3-29 08:42:00
Jörn 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
发表于 2025-3-29 14:43:15
http://reply.papertrans.cn/29/2849/284810/284810_46.png
疲劳
发表于 2025-3-29 18:27:54
http://reply.papertrans.cn/29/2849/284810/284810_47.png
ectropion
发表于 2025-3-29 21:23:33
http://reply.papertrans.cn/29/2849/284810/284810_48.png
locus-ceruleus
发表于 2025-3-30 02:20:49
Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng
Palliation
发表于 2025-3-30 04:58:19
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