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Titlebook: Document Analysis and Recognition – ICDAR 2023 Workshops; San José, CA, USA, A Mickael Coustaty,Alicia Fornés Conference proceedings 2023 T

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11#
發(fā)表于 2025-3-23 13:44:57 | 只看該作者
12#
發(fā)表于 2025-3-23 14:18:47 | 只看該作者
FPNet: Deep Attention Network for?Automated Floor Plan Analysis to recognize room boundaries and room types in CAD floor plans. We evaluate our network on multiple datasets. We perform quantitative analysis along three metrics - Overall accuracy, Mean accuracy, and Intersection over union (IoU) to evaluate the efficacy of our approach. We compare our approach w
13#
發(fā)表于 2025-3-23 18:42:40 | 只看該作者
14#
發(fā)表于 2025-3-23 23:07:44 | 只看該作者
15#
發(fā)表于 2025-3-24 02:26:48 | 只看該作者
Can Pre-trained Language Models Help in?Understanding Handwritten Symbols?lving a wide array of machine learning tasks in other modalities like images, audio, music, sketches and so on. These language models are domain-agnostic and as a result could be applied to 1-D sequences of any kind. However, the key challenge lies in bridging the modality gap so that they could gen
16#
發(fā)表于 2025-3-24 07:50:45 | 只看該作者
17#
發(fā)表于 2025-3-24 11:33:47 | 只看該作者
Breathing is to live, to smell and to feeldocuments, even in multilingual environments. These models require minimal training data and are a suitable solution for digitising libraries and archives. However, it is essential to note that the quality of the recognised text can be affected by the handwriting style.
18#
發(fā)表于 2025-3-24 16:03:50 | 只看該作者
19#
發(fā)表于 2025-3-24 19:23:34 | 只看該作者
20#
發(fā)表于 2025-3-25 00:29:19 | 只看該作者
The Adaptability of?a?Transformer-Based OCR Model for?Historical Documentsdocuments, even in multilingual environments. These models require minimal training data and are a suitable solution for digitising libraries and archives. However, it is essential to note that the quality of the recognised text can be affected by the handwriting style.
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