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Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi

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楼主: 召唤
发表于 2025-3-27 01:03:03 | 显示全部楼层
Analysis of the Calibration of Handwriting Text Recognition Models and in cross-collection scenarios. Our results report interesting conclusions about the calibration of HTR, highlighting their strengths, weaknesses, and the extent to which the considered strategies improve results.
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Paul Kuff,Karl Schwalbenhofer,Alice Strohmpendent metrics tailored to Information Extraction evaluation in handwritten documents. In our experimentation, we perform an in-depth analysis of the behavior of the metrics to recommend what we consider to be the minimal set of metrics to evaluate a task correctly.
发表于 2025-3-27 12:13:41 | 显示全部楼层
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Reading Order Independent Metrics for Information Extraction in Handwritten Documentspendent metrics tailored to Information Extraction evaluation in handwritten documents. In our experimentation, we perform an in-depth analysis of the behavior of the metrics to recommend what we consider to be the minimal set of metrics to evaluate a task correctly.
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Magnesium Role in Health and Longevity,e to make temporal neural networks more robust to adversarial attacks. The proposed method is evaluated using online handwritten characters and against four state-of-the-art adversarial attacks. We demonstrate that the nontraditional use of TTA can be used to protect against these attacks for almost no cost.
发表于 2025-3-28 05:46:33 | 显示全部楼层
Test Time Augmentation as a Defense Against Adversarial Attacks on Online Handwritinge to make temporal neural networks more robust to adversarial attacks. The proposed method is evaluated using online handwritten characters and against four state-of-the-art adversarial attacks. We demonstrate that the nontraditional use of TTA can be used to protect against these attacks for almost no cost.
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发表于 2025-3-28 12:03:20 | 显示全部楼层
Geometric-Aware Control in Diffusion Model for Handwritten Chinese Font Generations have shown promising performance on different tasks including Chinese font generation. However, most of the current diffusion model-based Chinese font generation methods focus on generating printed Chinese character images and pay insufficient attention to the geometric characteristics of characte
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