START
发表于 2025-3-26 23:13:53
challenge. Contemporary OMR techniques, grounded in machine learning principles, have a critical requirement: a labeled dataset for training. This presents a practical challenge due to the extensive manual effort required, coupled with the fact that the availability of suitable data for creating tr
corn732
发表于 2025-3-27 02:03:25
achine translation, document information retrieval, and structured data extraction from documents. However, most publicly available datasets in the field of layout analysis primarily consist of documents with a single layout type, are in the English language, and are limited to PDF documents. In thi
束以马具
发表于 2025-3-27 07:07:05
https://doi.org/10.1007/978-3-030-68375-7documents often contain large amounts of personal data, their usage can pose a threat to user privacy and weaken the bonds of trust between humans and AI services. In response to these concerns, legislation advocating “the right to be forgotten” has recently been proposed, allowing users to request
Allege
发表于 2025-3-27 12:52:12
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空洞
发表于 2025-3-27 16:29:22
e current work on zero-shot learning in document image classification remains scarce. The existing studies either focus exclusively on zero-shot inference, or their evaluation does not align with the established criteria of zero-shot evaluation in the visual recognition domain. We provide a comprehe
开头
发表于 2025-3-27 18:48:35
s and tasks, including document-specific ones. On the other hand, there is a trend to train multi-modal transformer architectures tailored for document understanding that are designed specifically to fuse textual inputs with the corresponding document layout. This involves a separate fine-tuning ste
SEED
发表于 2025-3-27 23:43:42
http://reply.papertrans.cn/29/2849/284811/284811_37.png
bizarre
发表于 2025-3-28 04:55:31
https://doi.org/10.1007/BFb0048530teps, such as layout analysis and optical character recognition (OCR), for information extraction from document images. We attempt to provide some answers through experiments conducted on a new database of food labels. The goal is to extract nutritional values from cellphone pictures taken in grocer
glucagon
发表于 2025-3-28 09:59:56
classification (DIC). While VRD research is dependent on increasingly sophisticated and cumbersome models, the field has neglected to study efficiency via model compression. Here, we design a KD experimentation methodology. for more lean, performant models on document understanding (DU) tasks that
轻打
发表于 2025-3-28 10:50:54
https://doi.org/10.1007/978-3-642-71896-0for many research tasks, including text recognition, but it is costly to annotate them. Therefore, methods utilizing unlabeled data are researched. We study self-supervised pre-training methods based on masked label prediction using three different approaches – Feature Quantization, VQ-VAE, and Post