使固定
发表于 2025-3-21 17:03:37
书目名称Document Analysis and Recognition – ICDAR 2024 Workshops影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0284816<br><br> <br><br>书目名称Document Analysis and Recognition – ICDAR 2024 Workshops读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0284816<br><br> <br><br>
Radiation
发表于 2025-3-21 22:29:56
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/284816.jpg
medium
发表于 2025-3-22 03:32:29
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
杀菌剂
发表于 2025-3-22 07:24:56
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细颈瓶
发表于 2025-3-22 11:26:48
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极力证明
发表于 2025-3-22 16:25:10
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
极力证明
发表于 2025-3-22 18:48:35
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
fructose
发表于 2025-3-22 23:14:55
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思考而得
发表于 2025-3-23 03:30:59
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TRAWL
发表于 2025-3-23 06:11:10
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