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

不可接觸

https://doi.org/10.1007/978-3-030-35914-0es through the panels to highlight different aspects of a character’s emotional states. Consequently, for each face image, pictures corresponding to the character’s body and the whole panel are also included so they can be studied simultaneously.

假

addict

calumniate

委托

glowing

表示向前

單調(diào)女

Valves

Breathing is to live, to smell and to feeln 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.

prolate

https://doi.org/10.1007/978-4-431-99039-0tokens. 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.