標(biāo)題: Titlebook: Document Analysis and Recognition – ICDAR 2024 Workshops; Athens, Greece, Augu Harold Mouchère,Anna Zhu Conference proceedings 2024 The Edi [打印本頁(yè)] 作者: 使固定 時(shí)間: 2025-3-21 17:03
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops影響因子(影響力)
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops影響因子(影響力)學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops網(wǎng)絡(luò)公開度
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops被引頻次
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops被引頻次學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops年度引用
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops年度引用學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops讀者反饋
書目名稱Document Analysis and Recognition – ICDAR 2024 Workshops讀者反饋學(xué)科排名
作者: Radiation 時(shí)間: 2025-3-21 22:29
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/284816.jpg作者: medium 時(shí)間: 2025-3-22 03:32
https://doi.org/10.1007/978-3-642-69714-2ting typologies often encounter methodological challenges, such as descriptive limitations and subjective criteria. We propose an interpretable deep learning-based approach to morphological script type analysis, which enables systematic and objective analysis and contributes to bridging the gap betw作者: 殺菌劑 時(shí)間: 2025-3-22 07:24 作者: 細(xì)頸瓶 時(shí)間: 2025-3-22 11:26 作者: 極力證明 時(shí)間: 2025-3-22 16:25
Prinzipien des Mittelleistungstrainings,roblems, and storage damage. These missing portions or gaps are referred to as lacunae. In this study, we employ transformer-based optical character recognition (OCR) models trained on synthetic data containing lacunae in a supervised manner. We demonstrate their effectiveness in detecting and resto作者: 極力證明 時(shí)間: 2025-3-22 18:48
Prinzipien des Dauerleistungstrainings,ound exploration of our past. However, the application of machine learning approaches in historical palaeography is often met with criticism due to their perceived “black box” nature. In response to this challenge, we introduce NeuroPapyri, an innovative deep learning-based model specifically design作者: fructose 時(shí)間: 2025-3-22 23:14 作者: 思考而得 時(shí)間: 2025-3-23 03:30 作者: TRAWL 時(shí)間: 2025-3-23 06:11
of medieval Hebrew manuscripts annotated with dates. Our initial experiments focus on documents written in the Ashkenazi square script, allowing us to refine our methodologies in a manageable setting before addressing more complex script types. Also, to accurately reflect the script’s historical evo作者: STING 時(shí)間: 2025-3-23 12:44 作者: chastise 時(shí)間: 2025-3-23 16:21
g. It also helps readers to effectively navigate into a structured document with a large amount of textual data. In the legal domain, document structuring is particularly important for creating inter- and intra-document links. In this paper, we present a practical implementation of a multimodal work作者: Dignant 時(shí)間: 2025-3-23 19:37 作者: 裂隙 時(shí)間: 2025-3-23 22:40
s still a challenging problem to separate overlapped handwritten and printed text lines in images of complex documents including examination papers, legal documents, etc. In this paper, handwritten and printed text separation is formulated as a pixel-level document image segmentation task. Firstly, 作者: micturition 時(shí)間: 2025-3-24 03:44
owever, it is not only the model architecture that influences an approach’s results, but also the quality of training and test data. In this paper, we perform an ablation study on an existing state-of-the-art pre-trained multimodal GAT network. Therein we investigate two kinds of modifications to un作者: 財(cái)政 時(shí)間: 2025-3-24 08:17
https://doi.org/10.1007/978-3-031-70642-4Document Analysis Systems; Handwriting Recognition; Scene Text Detection and Recognition; Document Imag作者: ENACT 時(shí)間: 2025-3-24 14:34 作者: 我正派 時(shí)間: 2025-3-24 16:30
Conference proceedings 2024rpora (ARPC);..ICDAR 2024 Workshop on coMics ANalysis, Processing and Understanding (MANPU)..Part II contains 14 regular papers that stem from the following workshops:..ICDAR 2024 Workshop on Computational Paleography (IWCP);..ICDAR 2024 Workshop on Machine Vision and NLP for Document Analysis (VINALDO)...?.作者: 高度贊揚(yáng) 時(shí)間: 2025-3-24 21:26
Trainingswirkungen auf den Organismus,ation phase uses a Vision Transformer (ViT) to identify similar characters, which outperforms classic CNN-based Siamese networks to handle such a complexity and variation. This approach demonstrates potential for analyzing under-resourced and damaged corpora, thus facilitating the study of deteriorated inscriptions in a variety of contexts.作者: Diastole 時(shí)間: 2025-3-25 02:05
Harald Mellerowicz,Wolfgang Mellers with an average accuracy of 98.45%, demonstrating the effectiveness of a small and targeted dataset over a large-scale approach. This research not only advances the digitization and analytical processing of Chinese historical documents but also sets a new benchmark for subsequent digital humanities efforts.作者: faucet 時(shí)間: 2025-3-25 04:35
https://doi.org/10.1007/978-3-211-99801-4lysis metrics (precision, recall, mAP), and a 12 point increase in precision and recall for damaged documents. Additionally, masks with character information enhance image quality, boosting text recognition performance.作者: Expressly 時(shí)間: 2025-3-25 10:31
lationships among paragraphs using a deterministic algorithm. Our contribution extends to the publication of an open-source dataset, facilitating further exploration in this domain of study, which has received comparatively less attention.作者: 中古 時(shí)間: 2025-3-25 11:40
imbalanced distributions of different classes. Experimental results on both a public English document image dataset and a self-built Chinese document image dataset have demonstrated the effectiveness of the proposed method.作者: 人造 時(shí)間: 2025-3-25 17:47 作者: intrigue 時(shí)間: 2025-3-25 22:49
Optimizing HTR and?Reading Order Strategies for?Chinese Imperial Editions with?Few-Shot Learnings with an average accuracy of 98.45%, demonstrating the effectiveness of a small and targeted dataset over a large-scale approach. This research not only advances the digitization and analytical processing of Chinese historical documents but also sets a new benchmark for subsequent digital humanities efforts.作者: 檔案 時(shí)間: 2025-3-26 02:00
Image-to-Image Translation Approach for?Page Layout Analysis and?Artificial Generation of?Historicallysis metrics (precision, recall, mAP), and a 12 point increase in precision and recall for damaged documents. Additionally, masks with character information enhance image quality, boosting text recognition performance.作者: 貪婪性 時(shí)間: 2025-3-26 06:13
A Multimodal Framework For Structuring Legal Documentslationships among paragraphs using a deterministic algorithm. Our contribution extends to the publication of an open-source dataset, facilitating further exploration in this domain of study, which has received comparatively less attention.作者: 極小量 時(shí)間: 2025-3-26 12:10
HPSegNet: A Method for?Handwritten and?Printed Text Separation in?Document Images imbalanced distributions of different classes. Experimental results on both a public English document image dataset and a self-built Chinese document image dataset have demonstrated the effectiveness of the proposed method.作者: entice 時(shí)間: 2025-3-26 15:23 作者: 行乞 時(shí)間: 2025-3-26 19:33
https://doi.org/10.1007/978-3-642-69714-2 prototypes, representative of letter morphology, and provide qualitative and quantitative tools for their comparison and analysis. We demonstrate our approach by applying it to the . script type and its two subtypes formalized by A. Derolez: Northern and Southern ..作者: 植物學(xué) 時(shí)間: 2025-3-26 23:08
s on the same data, we find that the CNN-based Kraken model slightly outperforms the transformer-based TESTR model on recognition character accuracy and some object-level metrics, even though it lags behind on pixel-level metrics.作者: 單色 時(shí)間: 2025-3-27 04:27 作者: 抵消 時(shí)間: 2025-3-27 08:13 作者: 粗魯性質(zhì) 時(shí)間: 2025-3-27 13:05
An Interpretable Deep Learning Approach for?Morphological Script Type Analysis prototypes, representative of letter morphology, and provide qualitative and quantitative tools for their comparison and analysis. We demonstrate our approach by applying it to the . script type and its two subtypes formalized by A. Derolez: Northern and Southern ..作者: Aerophagia 時(shí)間: 2025-3-27 15:42
MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for?Recognition Models ofs on the same data, we find that the CNN-based Kraken model slightly outperforms the transformer-based TESTR model on recognition character accuracy and some object-level metrics, even though it lags behind on pixel-level metrics.作者: 改進(jìn) 時(shí)間: 2025-3-27 20:55 作者: MUTE 時(shí)間: 2025-3-27 23:02
Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate tthetic and an imperfect real-world dataset. The results of the study show the importance of language modules for semantic embeddings in multimodal invoice recognition and illustrate the impact of data annotation quality. We further contribute an adapted GAT model for German invoices.作者: VEST 時(shí)間: 2025-3-28 05:36 作者: AFFIX 時(shí)間: 2025-3-28 07:26 作者: 脫毛 時(shí)間: 2025-3-28 11:46 作者: 帶來(lái)墨水 時(shí)間: 2025-3-28 16:02
Prinzipien des Dauerleistungstrainings,andwritten text, the model utilizes individual attention maps to inform the presence or absence of specific characters in the input image. This paper presents the NeuroPapyri model, including its architecture and training methodology. Results from the evaluation demonstrate NeuroPapyri’s efficacy in作者: adduction 時(shí)間: 2025-3-28 22:49
sual inputs from Hell-Date to predict precise dates of papyri. In addition, experts provide palaeographic dating for comparison. To compare, we developed a new framework for error analysis that reflects the inherent imprecision of the palaeographic dating method. The results indicate that the comput作者: 笨拙的我 時(shí)間: 2025-3-28 23:14
e additional classes that define hierarchical elements, like column-header, table-footer, cells, merged-cell, table-summary etc. For these additional entities, we define hierarchical relations like a tuple of entities {table-header entity, column-header entity, row-header entity} that point to the u作者: CLAY 時(shí)間: 2025-3-29 06:32 作者: GEST 時(shí)間: 2025-3-29 09:24 作者: crumble 時(shí)間: 2025-3-29 14:30
NeuroPapyri: A Deep Attention Embedding Network for?Handwritten Papyri Retrievalandwritten text, the model utilizes individual attention maps to inform the presence or absence of specific characters in the input image. This paper presents the NeuroPapyri model, including its architecture and training methodology. Results from the evaluation demonstrate NeuroPapyri’s efficacy in作者: Calculus 時(shí)間: 2025-3-29 15:34 作者: 暖昧關(guān)系 時(shí)間: 2025-3-29 23:47 作者: 尖酸一點(diǎn) 時(shí)間: 2025-3-30 03:16 作者: Cerumen 時(shí)間: 2025-3-30 05:31
Detecting and?Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and?Vision Transformersscriptions and graffiti. The research utilizes a newly compiled dataset of 150 images that include a variety of inscriptions, mosaics, and graffiti. These images are sourced from general archaeological site views and vary in quality and type, including drone and archival photos, to replicate real-wo
