和平 发表于 2025-3-25 04:42:00

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Adenocarcinoma 发表于 2025-3-25 08:25:02

978-3-031-41684-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

健谈的人 发表于 2025-3-25 13:24:16

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歌唱队 发表于 2025-3-25 15:57:20

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FRET 发表于 2025-3-25 21:20:49

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Highbrow 发表于 2025-3-26 02:11:35

Translating Statistics to Make Decisionsarameterization, which grows cubically with respect to the hypercomplex dimension. We attain good word and character error rate at only a small fraction of the memory footprint of non-hypercomplex models as well as previous non-shared operation hypercomplex ones (up to . size reduction).

Antagonist 发表于 2025-3-26 05:11:21

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COKE 发表于 2025-3-26 09:47:26

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murmur 发表于 2025-3-26 13:27:55

What a difference gender makes !to add those samples with a high confidence of correctness to the training set. Experimental results on IAM benchmark task show that OCR model trained with augmented DDPM-synthesized training samples can achieve about . relative word error rate reduction compared with the one trained on real data only.

无能性 发表于 2025-3-26 16:52:14

Paola Gentile,María Luisa Rodríguez Muñozd loss function for improving non-character resistance, and weakly supervised learning on both character and string samples for improving recognition performance. Experimental results on the CASIA-OLHWDB and ICDAR2013-Online datasets show that the proposed method can achieve promising recognition performance without training data augmentation.
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查看完整版本: Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023