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

猛烈责骂

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.