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Generating Gold Questions for Difficult Visual Recognition Tasks

Diane Larlus, Florent Perronnin, Pramod Kompalli, Vivek Mishra
Gold questions are a standard mechanism to detect insincere workers on crowdsourcing platforms. They usually rely on the assumption that workers should obtain perfect accuracy on the task. In this work, we are interested in crowdsourcing difficult multi-class visual recognition tasks, for which this assumption is not met, and we propose a novel method for generating gold questions in this context.
Workshop on Computer Vision and Human Computation at the CVPR Conference in Columbus, Ohio, June 23-28, 2014.
2014
2014/019

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2014-019.pdf (986.02 kB)