English(EN) Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime

新框架改善低资源环境下的手写文本识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-25 04:00

研究人员开发了一种新的手写文本识别（HTR）框架，该框架在低资源场景下非常有效。该方法利用了词汇特征的温和先验知识，使其适用于标记数据稀缺的领域，例如历史档案。该方法使用迭代自举过程，通过最优传输（OT）将来自无标签图像的视觉特征与语义词表示对齐，从而逐步提高识别准确性。 AI

影响这项研究可以更好地分析历史文献和其他数据集有限的档案。

排序理由这是一篇详细介绍特定人工智能任务新颖框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Petros Georgoulas Wraight, Giorgos Sfikas, Ioannis Kordonis, Petros Maragos, George Retsinas · 2026-08-25 04:00

低资源条件下最优传输用于手写文本识别

arXiv:2509.16977v2 Announce Type: replace Abstract: Handwritten Text Recognition (HTR) is a task of central importance in the field of document image understanding. State-of-the-art methods for HTR require the use of extensive annotated sets for training, making them impractical …