Papers with mitigating gender bias towards vision-language tasks

1 papers
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks (2024.naacl-long)

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Challenge: Existing vision-language models focus on salient attributes but ignore contextualized nuances, resulting in gender bias.
Approach: They propose a task-agnostic generation framework to mitigate gender bias in vision-language models.
Outcome: The proposed framework can mitigate gender bias in vision-language models . it yields all-sided but gender-obfuscated narratives, which prevents concentration on localized image features, especially gender attributes.

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