Person Perception Biases Exposed: Revisiting the First Impressions Dataset

2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW)(2021)

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摘要
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the original pairwise annotations, and reveal existing person perception biases associated to perceived attributes like gender, ethnicity, age and face attractiveness. We show how person perception bias can influence data label...
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关键词
person perception biases,first impressions
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