Quantifying Societal Bias Amplification in Image Captioning

We study societal bias amplification in image captioning. Image captioning models have been shown to perpetuate gender and racial biases, however, metrics to measure, quantify, and evaluate the societal bias in captions are not yet standardized. We provide a comprehensive study on the strengths and...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 13440 - 13449
Hlavní autori:	Hirota, Yusuke, Nakashima, Yuta, Garcia, Noa
Médium:	Konferenčný príspevok..
Jazyk:	English Japanese
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	accountability Computational modeling Computer vision Equalizers fairness Focusing Measurement Predictive models privacy and ethics in vision; Vision + language Skin Transparency
ISSN:	1063-6919
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