Temporal Image Caption Retrieval Competition -- Description and Results
<|reference_start|>Temporal Image Caption Retrieval Competition -- Description and Results: 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.<|reference_end|>
@article{pokrywka2024temporal,
    title={Temporal Image Caption Retrieval Competition -- Description and Results},
    author={Jakub Pokrywka, Piotr Wierzcho'n, Kornel Weryszko, Krzysztof Jassem},
    journal={Proceedings of the 18th Conference on Computer Science and
  Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. \'Sl\k{e}zak
  (eds). ACSIS, Vol. 35, pages 1331-1336 (2023)},
    year={2024},
    doi={10.15439/2023F7280},
    archivePrefix={arXiv},
    eprint={2410.06314},
    primaryClass={cs.CV cs.CL}
}