Ruiz, Adrià; Martinez, Oriol; Binefa i Valls, Xavier; Sukno, Federico Mateo
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
An essential issue when training and validating computer vision systems for affect analysis is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this paper, we address this problem when ...