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cs.CL2023
Women Wearing Lipstick: Measuring the Bias Between an Object and Its Related Gender
Ahmed Sabir, Lluís Padró
In this paper, we investigate the impact of objects on gender bias in image captioning systems. Our results show that only gender-specific objects have a strong gender bias (e.g.,…
cs.CL2023
Visual Semantic Relatedness Dataset for Image Captioning
Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró
Modern image captioning system relies heavily on extracting knowledge from images to capture the concept of a static story. In this paper, we propose a textual visual context datas…