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Author (up) Vacit Oguz Yazici; Joost Van de Weijer; Arnau Ramisa edit   pdf
url  openurl
  Title Color Naming for Multi-Color Fashion Items Type Conference Article
  Year 2018 Publication 6th World Conference on Information Systems and Technologies Abbreviated Journal  
  Volume 747 Issue Pages 64-73  
  Keywords Deep learning; Color; Multi-label  
  Abstract 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.  
  Address Naples; March 2018  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference WORLDCIST  
  Notes LAMP; 600.109; 601.309; 600.120 Approved no  
  Call Number Admin @ si @ YWR2018 Serial 3161  
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