召唤 发表于 2025-3-21 18:09:51
书目名称Document Analysis and Recognition - ICDAR 2024影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0284815<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2024读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0284815<br><br> <br><br>SLUMP 发表于 2025-3-21 23:45:02
Geometric-Aware Control in Diffusion Model for Handwritten Chinese Font Generatione control process. Third, the geometric information such as the corner points of a target character is utilized to weight the image reconstruction loss function for better control of character shape. The effectiveness of the proposed method for handwritten Chinese font generation is validated on the巨硕 发表于 2025-3-22 00:54:00
Learning to Kern: Set-Wise Estimation of Optimal Letter Spaceertain font. Among the two models, the set-wise model is not only more efficient but also more accurate because its internal self-attention mechanism allows for more consistent kerning for all letters. Experimental results on about 2500 Google fonts and their quantitative and qualitative analyses shLURE 发表于 2025-3-22 04:51:50
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Handwritten Document Recognition Using Pre-trained Vision Transformersearch, implementing freezing strategies, utilizing gradient accumulation, and employing hard negative mining techniques. This analysis demonstrates that our proposed efficient fine-tuning workflow significantly mitigates error rates and enhances inference speed, surpassing state-of-the-art results aBLUSH 发表于 2025-3-23 01:17:43
Janus-Faced Handwritten Signature Attack: A Clash Between a Handwritten Signature Duplicator and a Whe test stage. These profiles advance the threat level to the SigmML verifier by refining the output of the duplicator with a quality control mechanism which intuitively adapts the a-priori knowledge of the intra-variability of each writer. In our experiments, we considered signatures written in varIrrigate 发表于 2025-3-23 01:47:29
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