Charade
发表于 2025-3-25 06:03:53
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seruting
发表于 2025-3-25 09:23:21
C. G. Gottfries,Rolf Adolfsson,Bengt Winbladtaset with 43.02% improvement, 2.94% on RIMES dataset with 56.25% improvement and 7.35% on READ-2016 dataset with 47.27% improvement from the existing results. The character error rate and word error rate reported in this work surpass the results reported in the literature.
chemoprevention
发表于 2025-3-25 15:42:42
Arxiv Tables: Document Understanding Challenge Linking Texts and Tablesistinguishes the dataset is that (1) the domain is science, (2) the input texts are longer than in typical Document Understanding Question Answering tasks, and (3) both the input and output contain non-standard characters used in scientific notation. For easier comparison for future research using this dataset, strong baselines are also given.
GROWL
发表于 2025-3-25 18:21:09
Text Line Detection and Recognition of Greek Polytonic Documentsrovide a new dataset to the public (GTLD-small) for text line detection. We evaluate our method through scenarios applied to the detection and recognition tasks, while demonstrating promising results when compared to popular commercial or open-source systems.
接合
发表于 2025-3-26 00:01:13
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无能力之人
发表于 2025-3-26 03:03:39
Macmillan Motor Vehicle Engineering Serieshus it is purely a structure perception approach, not dependent on the language and the quality of the text reading. We evaluate our model on invoice-like documents and the proposed method showed good results for the task of table extraction.
ALIEN
发表于 2025-3-26 08:14:26
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寻找
发表于 2025-3-26 09:24:00
E. S. Garnett,G. Firnau,C. Nahmiasges with more accurate style realization. This loss function has the merit of applicability to various font generation models. Our experimental results show that the proposed loss function improves the quality of generated character images by several few-shot font generation models.
Default
发表于 2025-3-26 14:05:50
A Clustering Approach Combining Lines and Text Detection for Table Extractionhus it is purely a structure perception approach, not dependent on the language and the quality of the text reading. We evaluate our model on invoice-like documents and the proposed method showed good results for the task of table extraction.
创造性
发表于 2025-3-26 20:03:11
A New Optimization Approach to Improve an Ensemble Learning Model: Application to Persian/Arabic Hanthm. The ensemble model is fed by a set of handcrafted features, including directional and intersection features, extracted from handwritten text. The proposed model is evaluated using three different datasets. Results obtained from the proposed models demonstrate higher accuracies compared to the state-of-the-art models.