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

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樓主: Garfield
31#
發(fā)表于 2025-3-26 22:27:30 | 只看該作者
32#
發(fā)表于 2025-3-27 04:34:52 | 只看該作者
The KuiSCIMA Dataset for?Optical Music Recognition of?Ancient Chinese Suzipu Notationt comes with an open-source tool which allows editing, visualizing, and exporting the contents of the dataset files. In total, this contribution promotes the preservation and understanding of cultural heritage through digitization.
33#
發(fā)表于 2025-3-27 05:51:25 | 只看該作者
Tl...Zrieder corpus, containing 1,438 and 1,493 pianoform systems, each with an image from IMSLP and MusicXML ground truth. (c) We train and fine-tune an end-to-end model to serve as a baseline on the dataset and employ the TEDn metric to evaluate the model. We also test our model against the recently publ
34#
發(fā)表于 2025-3-27 10:07:27 | 只看該作者
Diskussion des Ansatzes von Tobin, proposals through a Tree Proposal Network, which are subsequently refined into hierarchical trees by a Relation Decoder module. To enhance the relation prediction capabilities of UniVIE, we incorporate two novel tree constraints into the Relation Decoder: a Tree Attention Mask and a Tree Level Embe
35#
發(fā)表于 2025-3-27 14:02:43 | 只看該作者
36#
發(fā)表于 2025-3-27 19:15:32 | 只看該作者
mails). DocVQA, for its part, has several types of documents but only 4.5% of them are business documents (i.e. invoice, purchase order, etc.). All of these 4.5% of documents do not meet the diversity of documents that companies may encounter in their daily document flow. In order to extend these li
37#
發(fā)表于 2025-3-28 00:46:40 | 只看該作者
Tokolyse beim vorzeitigen Blasensprung?, this dataset, enhancing model input quality and resulting in another 1% improvement. Finally, we extend the task to a generative format, establishing new baselines and expanding the research possibilities in the field of comics analysis. Code is available at ..
38#
發(fā)表于 2025-3-28 02:45:24 | 只看該作者
39#
發(fā)表于 2025-3-28 10:11:48 | 只看該作者
40#
發(fā)表于 2025-3-28 10:29:08 | 只看該作者
https://doi.org/10.1007/978-3-663-15792-2 Conditional Optimal Transport to effectively identify clues by transporting the semantic meaning of one or several words (from the original passage) to selected words (within identified clues), under the prior condition of the question and answer. Empirical studies on several competitive benchmarks
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