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Author Bojana Gajic; Ramon Baldrich edit  doi
openurl 
Title Cross-domain fashion image retrieval Type Conference Article
Year 2018 Publication CVPR 2018 Workshop on Women in Computer Vision (WiCV 2018, 4th Edition) Abbreviated Journal  
Volume Issue Pages 19500-19502  
Keywords  
Abstract Cross domain image retrieval is a challenging task that implies matching images from one domain to their pairs from another domain. In this paper we focus on fashion image retrieval, which involves matching an image of a fashion item taken by users, to the images of the same item taken in controlled condition, usually by professional photographer. When facing this problem, we have different products
in train and test time, and we use triplet loss to train the network. We stress the importance of proper training of simple architecture, as well as adapting general models to the specific task.
 
Address Salt Lake City, USA; 22 June 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 (up) Edition  
ISSN ISBN Medium  
Area Expedition Conference CVPRW  
Notes CIC; 600.087 Approved no  
Call Number Admin @ si @ Serial 3709  
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