MEDAL
发表于 2025-3-21 18:35:47
书目名称Document Analysis and Recognition - ICDAR 2023影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0282308<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0282308<br><br> <br><br>
unstable-angina
发表于 2025-3-21 20:35:35
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火光在摇曳
发表于 2025-3-22 01:41:42
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APO
发表于 2025-3-22 07:16:36
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不在灌木丛中
发表于 2025-3-22 11:45:16
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调情
发表于 2025-3-22 15:18:49
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调情
发表于 2025-3-22 19:26:12
TPFNet: A Novel ,ext In-,ainting Trans,ormer for Text Removalford, SCUT, SCUT-EnsText and ICDAR2013 datasets, TPFNet outperforms recent networks on nearly all the metrics. E.g., on Oxford dataset, TPFNet has a PSNR (higher is better) of 44.2 and a text-detection precision (lower is better) of 39.0, compared to MTRNet++’s PSNR of 33.7 and precision of 50.4. Th
liposuction
发表于 2025-3-22 22:12:27
Advances in Global Change Research novel fine-tuning step to update the parameters by adding adaptive but random perturbations, which is quite different from the traditional gradient descent approach. Competitive results on ICDAR (2013, 2015, 2017), CTW-1500, and SynthText benchmarks further demonstrate the effectiveness of TDAE.
机警
发表于 2025-3-23 02:12:22
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季雨
发表于 2025-3-23 08:25:16
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