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Found 3 papers, 1 papers with code
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information
We showcase its application to the landmark recognition domain, presenting a detailed analysis and the final fairer landmark rankings.
Dialog Inpainting: Turning Documents into Dialogs
Our approach takes the text of any document and transforms it into a two-person dialog between the writer and an imagined reader: we treat sentences from the article as utterances spoken by the writer, and then use a dialog inpainter to predict what the imagined reader asked or said in between each of the writer's utterances.
Towards A Fairer Landmark Recognition Dataset
To create a more comprehensive and equitable dataset, we start by defining the fair relevance of a landmark to the world population.
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