Misogynous Memes Recognition: Training vs Inference Bias Mitigation Strategies
In this paper, we address the problem of automatic misogynous meme recognition by dealing with potentially biased elements that could lead to unfair models. In particular, a bias estimation technique is used to identify those textual and visual elements that unintendedly affect the model prediction,...
Gardado en:
| Publicado en: | URI:https://journals.openedition.org/ijcol, |
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| Auteurs principaux: | , , |
| Formato: | Article ou chapitre numérique |
| Idioma: | Anglais |
| Publicado: |
IJCoL
2025
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| Acceso en liña: | Accès Université d'Orléans et IFPM |