logo Idiap Research Institute        
 [BibTeX] [Marc21]
Enhancing Multi-modal Classification of Violent Events using Image Captioning
Type of publication: Conference paper
Citation: Vallejo-Aldana_IBERLEF2023_2023
Publication status: Published
Booktitle: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings
Volume: 3496
Year: 2023
Month: September
Location: Jaén, Spain
ISSN: 1613-0073
URL: https://ceur-ws.org/Vol-3496/d...
Abstract: This research paper presents our involvement in the collaborative evaluation campaign of DA- VINCIS@IberLEF 2023. Our focus lies on tackling the Violent-Event Identification (VEI) task, wherein we employ a multi-modal approach that combines textual input with image captions extracted from visual data. The obtained results demonstrate a competitive performance, as we achieved the top position in the VEI task with an average F1 score of 0.92638
Keywords:
Projects Idiap
Authors Vallejo-Aldana, Daniel
López-Monroy, A. Pastor
Villatoro-Tello, Esaú
Added by: [UNK]
Total mark: 0
Attachments
    Notes