%0 Conference Proceedings
%T Color Naming for Multi-Color Fashion Items
%A Vacit Oguz Yazici
%A Joost Van de Weijer
%A Arnau Ramisa
%B 6th World Conference on Information Systems and Technologies
%D 2018
%V 747
%F Vacit Oguz Yazici2018
%O LAMP; 600.109; 601.309; 600.120
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3161), last updated on Tue, 08 Feb 2022 14:04:08 +0100
%X There exists a significant amount of research on color naming of single colored objects. However in reality many fashion objects consist of multiple colors. Currently, searching in fashion datasets for multi-colored objects can be a laborious task. Therefore, in this paper we focus on color naming for images with multi-color fashion items. We collect a dataset, which consists of images which may have from one up to four colors. We annotate the images with the 11 basic colors of the English language. We experiment with several designs for deep neural networks with different losses. We show that explicitly estimating the number of colors in the fashion item leads to improved results.
%K Deep learning
%K Color
%K Multi-label
%U https://doi.org/10.1007/978-3-319-77700-9_7
%U http://refbase.cvc.uab.es/files/YWR2018.pdf
%P 64-73