PT Unknown
AU Bojana Gajic
   Ramon Baldrich
TI Cross-domain fashion image retrieval
BT CVPR 2018 Workshop on Women in Computer Vision (WiCV 2018, 4th Edition)
PY 2018
BP 19500
EP 19502
DI 10.1109/CVPRW.2018.00243
AB 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 productsin 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.
ER