標(biāo)題: Titlebook: Document Analysis and Recognition – ICDAR 2021 Workshops; Lausanne, Switzerlan Elisa H. Barney Smith,Umapada Pal Conference proceedings 202 [打印本頁(yè)] 作者: Heel-Spur 時(shí)間: 2025-3-21 17:33
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops影響因子(影響力)
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops影響因子(影響力)學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops網(wǎng)絡(luò)公開(kāi)度
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops被引頻次
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops被引頻次學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops年度引用
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops年度引用學(xué)科排名
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops讀者反饋
書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops讀者反饋學(xué)科排名
作者: 極少 時(shí)間: 2025-3-21 23:12
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Imagesavailable training and evaluation data. This paper presents such an image set along with annotations. The dataset consists of . images of . circuits by . drafters and . annotations. Each of these images depicts an electrical circuit diagram taken by consumer grade cameras under varying lighting cond作者: 檔案 時(shí)間: 2025-3-22 02:35
A Self-supervised Inverse Graphics Approach for Sketch Parametrizationded a breakthrough by sequentially generating sketches as a sequence of waypoints, and more recent articles have managed to generate fully vector sketches by coding the strokes as Bézier curves. However, the previous attempts with this approach need them all a ground truth consisting in the sequence作者: 可以任性 時(shí)間: 2025-3-22 05:26 作者: BOAST 時(shí)間: 2025-3-22 10:17 作者: antidote 時(shí)間: 2025-3-22 15:42 作者: antidote 時(shí)間: 2025-3-22 19:04 作者: 有惡意 時(shí)間: 2025-3-23 00:21 作者: Inoperable 時(shí)間: 2025-3-23 04:28
MediTables: A New Dataset and Deep Network for Multi-category Table Localization in Medical Documentfrom various domains exist. However, healthcare and medical documents represent a crucial domain that has not been included so far. To address this gap, we contribute MediTables, a new dataset of 200 diverse medical document images with multi-category table annotations. Meditables contains a wide ra作者: 打折 時(shí)間: 2025-3-23 05:45
Online Analysis of Children Handwritten Words in Dictation Contexty the French government, which aims at designing a virtual notebook in order to foster handwriting learning for primary school pupils. In this work, we consider the task of analysing handwritten words in the context of a dictation exercise. This task is complex due to different factors: the children作者: Diluge 時(shí)間: 2025-3-23 12:08 作者: 松緊帶 時(shí)間: 2025-3-23 15:03
Accurate Graphic Symbol Detection in?Ancient Document Digital Reproductions. The study of such symbols may potentially reveal essential insights into the social and historical context. However, finding such symbols in handwritten documents is not an easy task, requiring the knowledge and skills of expert users, i.e., paleographers. An AI-based system can be designed, highl作者: 嘲笑 時(shí)間: 2025-3-23 21:12
Inscription Segmentation Using Synthetic Inscription Images for Text Detection at?Stone Monuments. Photography is an easy way to record inscriptions; however, the light falling on the monument, the resulting shadows, and the innate texture of the stone can make the text in the photographs unclear and difficult to recognize. This paper presents a method for inferring pixel-wise text areas in a s作者: 精確 時(shí)間: 2025-3-23 23:35
Transfer Learning for Scene Text?Recognition in Indian Languagesns. In this work, we investigate the power of transfer learning for all the layers of deep scene text recognition networks from English to two common Indian languages. We perform experiments on the conventional CRNN model and STAR-Net to ensure generalisability. To study the effect of change in diff作者: 思鄉(xiāng)病 時(shí)間: 2025-3-24 05:17 作者: 越自我 時(shí)間: 2025-3-24 07:02
CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognitiontion masks at multiple levels, ., line, word, and character levels while training the multi-head attention model. We demonstrate that such supervision improves training performance and testing accuracy. To train CATALIST?and its attention masks, we also present a synthetic data generator ALCHEMIST?t作者: 埋葬 時(shí)間: 2025-3-24 11:31 作者: scotoma 時(shí)間: 2025-3-24 16:48
0302-9743 and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 contributions?and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: 作者: 轎車 時(shí)間: 2025-3-24 22:38 作者: invade 時(shí)間: 2025-3-24 23:43
Introduction: Transmedia Crime Stories,train the model in a wider range of datasets, but also to perform better after-training predictions by applying an overfitting process on the input binary image. We report qualitative an quantitative evaluations on the . and the . datasets.作者: indoctrinate 時(shí)間: 2025-3-25 05:37
Introduction: Transmedia Crime Stories,usic manuscripts, we applied different types of distortions to the music scores and assessed their contribution in an end-to-end system. Our results show that some transformations are much more appropriate than others, leading up?to a . of relative improvement with respect to scenario without DA.作者: 幸福愉悅感 時(shí)間: 2025-3-25 08:16
Palgrave Series in Asia and Pacific Studiesulting symbol segmentation can be later used for training algorithms. The experimental evaluation shows that this method is promising, especially taking into account the small size of the cipher dataset.作者: 調(diào)整 時(shí)間: 2025-3-25 15:24 作者: 打火石 時(shí)間: 2025-3-25 19:11 作者: 付出 時(shí)間: 2025-3-25 22:06
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Imagesion points and crossovers are introduced, while texts are annotated as well. The geometric and taxonomic problems arising from this task as well as the classes themselves and statistics of their appearances are stated. The performance of a standard Faster RCNN on the dataset is provided as an object detection baseline.作者: 密碼 時(shí)間: 2025-3-26 04:11
A Self-supervised Inverse Graphics Approach for Sketch Parametrizationtrain the model in a wider range of datasets, but also to perform better after-training predictions by applying an overfitting process on the input binary image. We report qualitative an quantitative evaluations on the . and the . datasets.作者: 反饋 時(shí)間: 2025-3-26 05:39
Data Augmentation for End-to-End Optical Music Recognitionusic manuscripts, we applied different types of distortions to the music scores and assessed their contribution in an end-to-end system. Our results show that some transformations are much more appropriate than others, leading up?to a . of relative improvement with respect to scenario without DA.作者: 庇護(hù) 時(shí)間: 2025-3-26 08:49
A Transcription Is All You Need: Learning to Align Through Attentionulting symbol segmentation can be later used for training algorithms. The experimental evaluation shows that this method is promising, especially taking into account the small size of the cipher dataset.作者: 祖先 時(shí)間: 2025-3-26 13:51 作者: 即席 時(shí)間: 2025-3-26 20:47 作者: 雜役 時(shí)間: 2025-3-26 21:26 作者: 防銹 時(shí)間: 2025-3-27 02:37 作者: idiopathic 時(shí)間: 2025-3-27 06:18
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logoude the weak positive correlation between the text area ratio and the number of followers of the company. In addition, deep regression and deep ranking methods can catch correlations between the logo images and the number of followers.作者: 菊花 時(shí)間: 2025-3-27 10:36
Accurate Graphic Symbol Detection in?Ancient Document Digital Reproductionsighting potential symbols to be validated and enriched by the experts, whose decisions are used to improve the detection performance. This paper shows how this task can benefit from feature auto-encoding, showing how detection performance improves with respect to trivial template matching.作者: 弄污 時(shí)間: 2025-3-27 15:40
Antichrist Obama and the Doomsday Preppers and testing, with fewer windows used in testing, and (3) merging with non-maximal suppression (NMS) in windows and pages has been replaced by merging overlapping detections using XY-cutting at the page level. Our fastest model processes 3 pages per second on a Linux system with a GTX 1080Ti GPU, Intel i7-7700K CPU, and 32 GB of RAM.作者: REP 時(shí)間: 2025-3-27 20:31 作者: Diverticulitis 時(shí)間: 2025-3-28 01:38
Conference proceedings 2021ition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 contributions?and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: ICDAR 2021作者: phytochemicals 時(shí)間: 2025-3-28 05:50 作者: Calculus 時(shí)間: 2025-3-28 06:40 作者: 施加 時(shí)間: 2025-3-28 12:50
Graph-Based Object Detection Enhancement for Symbolic Engineering Drawingsa graph representation of the extracted circuit components. The graph structure is then analysed using graph convolutional neural networks and node degree comparison to identify graph anomalies potentially resulting from false negatives from the object recognition module. Anomaly predictions are the作者: interrupt 時(shí)間: 2025-3-28 17:18 作者: Baffle 時(shí)間: 2025-3-28 21:47 作者: 不要嚴(yán)酷 時(shí)間: 2025-3-29 00:26 作者: deviate 時(shí)間: 2025-3-29 03:40
Transfer Learning for Scene Text?Recognition in Indian LanguagesIndian languages with varying complexities in fonts and word length statistics. We also demonstrate that the learned features of the models transferred from other Indian languages are visually closer (and sometimes even better) to the individual model features than those transferred from English. We作者: Decrepit 時(shí)間: 2025-3-29 10:02
How Far Deep Learning Systems for Text Detection and Recognition in Natural Scenes are Affected by Oural images with ranges of occlusion between 0 and 100%. From this methodology, we produced the ISTD-OC, a dataset derivated from the ICDAR 2015 database to evaluate deep architectures under different levels of occlusion. The results demonstrated that these existing deep architectures that have achi作者: 合唱隊(duì) 時(shí)間: 2025-3-29 14:32 作者: AVOW 時(shí)間: 2025-3-29 17:21
Conference proceedings 2021and document forensics, and others..“Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..作者: MAL 時(shí)間: 2025-3-29 23:36 作者: ear-canal 時(shí)間: 2025-3-30 01:57
Karen E. Sutherland,Richie Barkeret of the Competition on Recognition of Online Handwritten Mathematical Expressions (CROHME) 2014, 2016, and 2019, respectively. These results are more than 2 percentage points higher than the LaTeX-based system.作者: FLIP 時(shí)間: 2025-3-30 05:23
Atalanta Goulandris,Eugene McLaughlin are used for transformation of the maps so that they can be neatly connected. Moreover, the border lines are important for masking the outside of the cadastre area..The tasks are solved using a combination of fully convolutional networks and conservative computer vision techniques. The presented ap作者: antenna 時(shí)間: 2025-3-30 09:59
Transmedia Storytelling and the Apocalypsea graph representation of the extracted circuit components. The graph structure is then analysed using graph convolutional neural networks and node degree comparison to identify graph anomalies potentially resulting from false negatives from the object recognition module. Anomaly predictions are the作者: UTTER 時(shí)間: 2025-3-30 13:20
Umar Hakim Mohd Hasri,Md Azalanshah Md Syed exhibits robust performance while being drastically smaller in size compared to strong baselines. Our annotated dataset and models represent a useful first step towards the development of focused systems for medical document image analytics, a domain that mandates robust systems for reliable inform作者: Prostaglandins 時(shí)間: 2025-3-30 20:03
Umar Hakim Mohd Hasri,Md Azalanshah Md Syedt with the stylus, thus the prior knowledge of the written word will drive the engine analysis. The second one relies on a single input: the child handwritten strokes. To drive the analysis, the strategy consists in generating hypotheses that are phonetically similar to the dictated instruction, whi作者: 征服 時(shí)間: 2025-3-30 21:39 作者: 少量 時(shí)間: 2025-3-31 02:00 作者: 羅盤 時(shí)間: 2025-3-31 07:11 作者: 厚臉皮 時(shí)間: 2025-3-31 13:11
Document Analysis and Recognition – ICDAR 2021 Workshops978-3-030-86198-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: definition 時(shí)間: 2025-3-31 15:58 作者: 杠桿 時(shí)間: 2025-3-31 18:40
978-3-030-86197-1Springer Nature Switzerland AG 2021作者: 表主動(dòng) 時(shí)間: 2025-4-1 00:37
Karen E. Sutherland,Richie BarkerLaTeX-based sequence represents the 2D structure of an HME as a 1D sequence. Consequently, the LaTeX-based sequence becomes longer, and HME recognition systems have difficulty in extracting its 2D structure. We propose a new representation for HMEs according to the relations of symbols, which shorte作者: chalice 時(shí)間: 2025-4-1 04:20 作者: Simulate 時(shí)間: 2025-4-1 10:05
Introduction: Transmedia Crime Stories,ded a breakthrough by sequentially generating sketches as a sequence of waypoints, and more recent articles have managed to generate fully vector sketches by coding the strokes as Bézier curves. However, the previous attempts with this approach need them all a ground truth consisting in the sequence作者: commodity 時(shí)間: 2025-4-1 10:55
Atalanta Goulandris,Eugene McLaughlinhe maps based on such features. The connection is very important so that the maps can be presented online and utilized easily. To the best of our knowledge, this is the first attempt to solve this task fully automatically. Compared to the manual annotation which is very time-consuming we can signifi作者: 先兆 時(shí)間: 2025-4-1 18:14
Introduction: Transmedia Crime Stories, Within this field, techniques based on Deep Learning represent the current state of the art. Nevertheless, their use is constrained by the large amount of labeled data required, which constitutes a relevant issue when dealing with historical manuscripts. This drawback can be palliated by means of D
