標(biāo)題: Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023 [打印本頁(yè)] 作者: digestive-tract 時(shí)間: 2025-3-21 19:36
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023影響因子(影響力)
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023影響因子(影響力)學(xué)科排名
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023被引頻次
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023被引頻次學(xué)科排名
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023年度引用
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023年度引用學(xué)科排名
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023讀者反饋
書(shū)目名稱Document Analysis and Recognition - ICDAR 2023讀者反饋學(xué)科排名
作者: 性上癮 時(shí)間: 2025-3-22 00:06
Document Analysis and Recognition - ICDAR 2023978-3-031-41676-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: DUCE 時(shí)間: 2025-3-22 01:37 作者: 描述 時(shí)間: 2025-3-22 07:37
New Frontiers in Translation Studiesedge graphs and further improving the efficiency of various financial applications. First, we proposed a new method for recognizing structure diagrams in financial announcements, which can better detect and extract different types of connecting lines, including straight lines, curves, and polylines 作者: 脾氣暴躁的人 時(shí)間: 2025-3-22 09:50 作者: 行業(yè) 時(shí)間: 2025-3-22 16:47 作者: 行業(yè) 時(shí)間: 2025-3-22 19:16
Cultural Profiling for Translation Purposeshe offline images by inferring a skeleton with a CNN and applying a basic cutting algorithm. We introduce sub-stroke embeddings by encoding the sub-stroke point sequence with a .ub-stroke .ncoding .ransformer (SET). The embeddings are then fed to the .ub-strokes .dering .ransformer (SORT) which pred作者: 不持續(xù)就爆 時(shí)間: 2025-3-22 21:44 作者: Conducive 時(shí)間: 2025-3-23 02:26 作者: venous-leak 時(shí)間: 2025-3-23 07:23 作者: neurologist 時(shí)間: 2025-3-23 13:21 作者: 緩和 時(shí)間: 2025-3-23 16:15
https://doi.org/10.57088/978-3-7329-9129-7ep learning have been proposed to solve this task. However, the positional relationship between mathematical symbols is often ignored or represented insufficient, leading to the loss of structural features of mathematical formulas. To overcome this challenge, we propose a position-aware encoder-deco作者: Adulterate 時(shí)間: 2025-3-23 20:05 作者: paroxysm 時(shí)間: 2025-3-24 01:33
Hoe het konijn de tijger overwon,d, we propose a multi-level synthesis strategy to synthesize the corresponding handwritten equations from LaTeX expressions and regard the chemical equation recognition as an image-to-markup task. In particular, our approach first decomposes the LaTeX expression into a symbol layout tree (SLT) and o作者: 移植 時(shí)間: 2025-3-24 05:39
übersetzerisches Handeln im Exil in the general image domain, chart element detection relies heavily on context information as charts are highly structured data visualization formats. To address this, we propose a novel method ., which stands for .ontext-.ware .art .lement .etection, by integrating a local-global context fusion mo作者: 驚惶 時(shí)間: 2025-3-24 07:23 作者: 使迷惑 時(shí)間: 2025-3-24 12:20 作者: 起皺紋 時(shí)間: 2025-3-24 18:29 作者: 幻想 時(shí)間: 2025-3-24 20:54 作者: pulmonary 時(shí)間: 2025-3-25 01:13 作者: 休閑 時(shí)間: 2025-3-25 05:52
SCI-3000: A Dataset for?Figure, Table and?Caption Extraction from?Scientific PDFsages) with annotations of figures, tables, and corresponding captions, from the fields of ., ., ., ., and .. We demonstrate the use of the dataset to benchmark two figure, table, and caption extraction approaches from recent literature: one rule-based and one deep learning-based.作者: entice 時(shí)間: 2025-3-25 07:58
Conference proceedings 2023om 316 submissions, and are presented with 101 poster presentations...The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition..作者: 跳脫衣舞的人 時(shí)間: 2025-3-25 14:53 作者: precede 時(shí)間: 2025-3-25 16:02 作者: IOTA 時(shí)間: 2025-3-25 21:35 作者: 詞匯 時(shí)間: 2025-3-26 00:23
An Encoder-Decoder Method with?Position-Aware for?Printed Mathematical Expression Recognition use Bi-GRU as the translator, and add attention mechanism to make decoder focus on the important local information. We conduct experiments on the public dataset IM2LaTeX-100K, and the results show that our proposed approach is more excellent than the majority of advanced methods.作者: foodstuff 時(shí)間: 2025-3-26 07:32 作者: invade 時(shí)間: 2025-3-26 11:11
Conference proceedings 2023n Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, in August 2023.?The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations...The papers are organized into the following topical sections: Graphics Recogniti作者: Entropion 時(shí)間: 2025-3-26 15:11
Multi-stage Fine-Tuning Deep Learning Models Improves Automatic Assessment of?the?Rey-Osterrieth Com It involves presenting a complex illustration to the patient who is asked to copy it, followed by recall from memory after 3 and 30?min. In clinical practice, a human rater evaluates each component of the reproduction, with the overall score indicating illness severity. However, this method is both作者: puzzle 時(shí)間: 2025-3-26 18:08
Structure Diagram Recognition in?Financial Announcementsedge graphs and further improving the efficiency of various financial applications. First, we proposed a new method for recognizing structure diagrams in financial announcements, which can better detect and extract different types of connecting lines, including straight lines, curves, and polylines 作者: 做作 時(shí)間: 2025-3-26 21:04
TransDocAnalyser: A Framework for?Semi-structured Offline Handwritten Documents Analysis with?an?App their inability to localize and label form fields with domain-specific semantics. Existing techniques for semi-structured document analysis have primarily used datasets comprising invoices, purchase orders, receipts, and identity-card documents for benchmarking. In this work, we build the first sem作者: 激勵(lì) 時(shí)間: 2025-3-27 01:53 作者: Psa617 時(shí)間: 2025-3-27 09:18 作者: 大方一點(diǎn) 時(shí)間: 2025-3-27 12:19
Character Queries: A Transformer-Based Approach to?On-line Handwritten Character Segmentationocate relevant positions during the recognition process, it is typically insufficient to produce a precise segmentation. Decoupling the segmentation from the recognition unlocks the potential to further utilize the result of the recognition. We specifically focus on the scenario where the transcript作者: conceal 時(shí)間: 2025-3-27 16:16
Relative Position Embedding Asymmetric Siamese Network for?Offline Handwritten Mathematical Expressio its recursive pattern, the problem of gradient disappearance or gradient explosion also exists for RNN, which makes them inefficient in processing long HME sequences. In order to solve above problems, this paper proposes a Transformer-based encoder-decoder model consisting of an asymmetric siamese作者: PATHY 時(shí)間: 2025-3-27 20:15 作者: 宇宙你 時(shí)間: 2025-3-27 22:11
Semantic Graph Representation Learning for?Handwritten Mathematical Expression Recognitione interactions between different symbols, which may fail when faced similar symbols. To alleviate this issue, we propose a simple but efficient method to enhance semantic interaction learning (SIL). Specifically, we firstly construct a semantic graph based on the statistical symbol co-occurrence pro作者: 觀點(diǎn) 時(shí)間: 2025-3-28 03:50
An Encoder-Decoder Method with?Position-Aware for?Printed Mathematical Expression Recognitionep learning have been proposed to solve this task. However, the positional relationship between mathematical symbols is often ignored or represented insufficient, leading to the loss of structural features of mathematical formulas. To overcome this challenge, we propose a position-aware encoder-deco作者: BOOST 時(shí)間: 2025-3-28 06:18 作者: Functional 時(shí)間: 2025-3-28 10:24 作者: Confess 時(shí)間: 2025-3-28 15:46
Context-Aware Chart Element Detection in the general image domain, chart element detection relies heavily on context information as charts are highly structured data visualization formats. To address this, we propose a novel method ., which stands for .ontext-.ware .art .lement .etection, by integrating a local-global context fusion mo作者: Dictation 時(shí)間: 2025-3-28 19:39 作者: GUEER 時(shí)間: 2025-3-28 23:16 作者: Femine 時(shí)間: 2025-3-29 03:41
New Frontiers in Translation Studiesreal-world structure diagrams using the preliminary model and then making few manual corrections. Finally, we experimentally verified the significant performance advantage of our structure diagram recognition method over previous methods.作者: 包租車船 時(shí)間: 2025-3-29 08:08
New Frontiers in Translation Studiesocuments, and benchmark it on our novel FIR dataset. Our framework used Encoder-Decoder architecture for localizing and labelling the form fields and for recognizing the handwritten content. The encoder consists of Faster-RCNN and Vision Transformers. Further the Transformer-based decoder architectu作者: 打折 時(shí)間: 2025-3-29 11:43
Ali Jalalian Daghigh,Mark Shuttleworthd structures are used for better user experience and readability. The resulting model is compact, explainable and end-to-end trainable. The proposed technique outperforms the state-of-the-art algorithms in terms of binarization accuracy and successfully extracted information rates.作者: 賠償 時(shí)間: 2025-3-29 15:38
Cultural Profiling for Translation Purposese-of-the-art in both datasets, achieving a word recognition rate of . and a 2.41 DTW on IRONOFF and an expression recognition rate of . and a DTW of 13.93 on CROHME 2019. This work constitutes an important milestone toward full offline document conversion to online.作者: 平庸的人或物 時(shí)間: 2025-3-29 22:22
https://doi.org/10.1007/978-981-13-6343-6our approach, we create character segmentation ground truths for two popular on-line handwriting datasets, IAM-OnDB and HANDS-VNOnDB, and evaluate multiple methods on them, demonstrating that our approach achieves the overall best results.作者: SOW 時(shí)間: 2025-3-30 02:55 作者: debouch 時(shí)間: 2025-3-30 06:16 作者: Cerumen 時(shí)間: 2025-3-30 08:58
Gernot Hebenstreit,Philipp Hofenederimprovement. Extensive experiments on public benchmark datasets demonstrate that our proposed module can effectively enhance the recognition performance. Our method achieves better recognition performance than prior arts on both CROHME and HME100K datasets.作者: 漂亮才會(huì)豪華 時(shí)間: 2025-3-30 13:29 作者: otic-capsule 時(shí)間: 2025-3-30 18:29
Hoe het konijn de tijger overwon,ession. We also collected a real dataset containing 1595 handwritten chemical equations, and the experimental results confirm that our proposed method can effectively improve the performance of handwritten chemical equation recognition systems. The dataset we generated will be released.作者: UNT 時(shí)間: 2025-3-31 00:39 作者: innate 時(shí)間: 2025-3-31 04:53
Structure Diagram Recognition in?Financial Announcementsreal-world structure diagrams using the preliminary model and then making few manual corrections. Finally, we experimentally verified the significant performance advantage of our structure diagram recognition method over previous methods.
