Temporal Image Caption Retrieval Competition -- Description and Results

Fuente: arXiv
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Autori principali: Pokrywka, Jakub, Wierzchoń, Piotr, Weryszko, Kornel, Jassem, Krzysztof
Natura: Preprint
Pubblicazione: 2024
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author Pokrywka, Jakub
Wierzchoń, Piotr
Weryszko, Kornel
Jassem, Krzysztof
author_facet Pokrywka, Jakub
Wierzchoń, Piotr
Weryszko, Kornel
Jassem, Krzysztof
contents Multimodal models, which combine visual and textual information, have recently gained significant recognition. This paper addresses the multimodal challenge of Text-Image retrieval and introduces a novel task that extends the modalities to include temporal data. The Temporal Image Caption Retrieval Competition (TICRC) presented in this paper is based on the Chronicling America and Challenging America projects, which offer access to an extensive collection of digitized historic American newspapers spanning 274 years. In addition to the competition results, we provide an analysis of the delivered dataset and the process of its creation.
format Preprint
id arxiv_https___arxiv_org_abs_2410_06314
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Temporal Image Caption Retrieval Competition -- Description and Results
Pokrywka, Jakub
Wierzchoń, Piotr
Weryszko, Kornel
Jassem, Krzysztof
Computer Vision and Pattern Recognition
Computation and Language
Multimodal models, which combine visual and textual information, have recently gained significant recognition. This paper addresses the multimodal challenge of Text-Image retrieval and introduces a novel task that extends the modalities to include temporal data. The Temporal Image Caption Retrieval Competition (TICRC) presented in this paper is based on the Chronicling America and Challenging America projects, which offer access to an extensive collection of digitized historic American newspapers spanning 274 years. In addition to the competition results, we provide an analysis of the delivered dataset and the process of its creation.
title Temporal Image Caption Retrieval Competition -- Description and Results
topic Computer Vision and Pattern Recognition
Computation and Language
url https://arxiv.org/abs/2410.06314