Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023

和平

Adenocarcinoma

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

健談的人

歌唱隊

FRET

Highbrow

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

COKE

murmur

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.

無能性

Paola Gentile,María Luisa Rodríguez Mu?ozd 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.