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 |
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| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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