Titlebook: Document Analysis and Recognition – ICDAR 2023 Workshops; San José, CA, USA, A Mickael Coustaty,Alicia Fornés Conference proceedings 2023 T

存心

使乳化

Paula Kasares,Ane Ortega,Estibaliz Amorrortuition at ICPR 2022. The data set includes 15 different chart categories, including 22,923 training images and 13,260 test images. We have implemented a vision-based transformer model that produces state-of-the-art results in chart classification.

collagen

contradict

Karel van Hulle,Leo van der Tasents..The evaluations were carried out on the KABOOM-ONOMATOPOEIA dataset and show the relevance of our method in comparison with methods of the literature, which makes it a promising tool in the field of scene text detection.

出血

Trochlea

Document Analysis and Recognition – ICDAR 2023 WorkshopsSan José, CA, USA, A

猛烈責罵

Beyond Human Forgeries: An Investigation into?Detecting Diffusion-Generated Handwritingn methods. Our experiments indicate that the strongest discriminative features do not come from generation artifacts, letter shapes, or the generative model’s architecture, but instead originate from real-world artifacts in genuine handwriting that are not reproduced by generative methods.

osteoclasts

Leveraging Large Language Models for?Topic Classification in?the?Domain of?Public Affairstokens. Our experiments assess the performance of 4 different Spanish LLMs to classify up to 30 different topics in the data in different configurations. The results shows that LLMs can be of great use to process domain-specific documents, such as those in the domain of public affairs.

jarring

Using GANs for?Domain Adaptive High Resolution Synthetic Document Generationbased) represented a preliminary step towards the generation of realistic document images, it was impeded by its incapacity to produce high-resolution outputs. Our research aims to overcome this restriction, enhancing the DocSynth model’s capacity to generate high-resolution document images. Additio

Mercantile

A Survey and?Approach to?Chart Classificationition at ICPR 2022. The data set includes 15 different chart categories, including 22,923 training images and 13,260 test images. We have implemented a vision-based transformer model that produces state-of-the-art results in chart classification.