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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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樓主: 召喚
31#
發(fā)表于 2025-3-27 01:03:03 | 只看該作者
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.
32#
發(fā)表于 2025-3-27 05:09:24 | 只看該作者
33#
發(fā)表于 2025-3-27 08:02:58 | 只看該作者
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.
34#
發(fā)表于 2025-3-27 12:13:41 | 只看該作者
35#
發(fā)表于 2025-3-27 16:41:20 | 只看該作者
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.
36#
發(fā)表于 2025-3-27 20:23:56 | 只看該作者
37#
發(fā)表于 2025-3-27 22:58:09 | 只看該作者
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.
38#
發(fā)表于 2025-3-28 05:46:33 | 只看該作者
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.
39#
發(fā)表于 2025-3-28 06:27:06 | 只看該作者
40#
發(fā)表于 2025-3-28 12:03:20 | 只看該作者
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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