文档介绍：: .
计算机工程与78/--0312
A Review Of Cross-Domain Image Retrieval
LI Haoran, ZHOU Xiaoping, WANG Jia
School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing
100044, China
Abstract：Due to the influence of imaging carriers, imaging spectra and imaging conditions, the application of
cross-domain images in different fields is increasing, and cross-domain image retrieval has become a hot topic and a
preamble of research in many fields. However, cross-domain image retrieval faces the problem of image visual
deviation, and the results cannot be effectively obtained through traditional same-domain image retrieval methods.
Through literature research, systematically reviews the representative approaches in the field of cross-domain image
retrieval in recent years. Firstly, the task of cross-domain image retrieval is described and the key issues are pointed
out; secondly, cross-domain image retrieval methods are divided into two categories according to different
transformation stages of image domains: cross-domain image retrieval methods based on feature space migration
and cross-domain image retrieval methods based on image domain adaptation, and the two types of methods are
summarised and analysed systematically; and then, the datasets of cross-domain image retrieval in different fields
are collated, and the performance of various methods is compared; finally, the existing cross-domain retrieval
methods are summarised and the future research directions are outlined.
Key words：cross-domain image retrieval; deep learning; feature space migration; image domain adaptation; review
基金项目：国家自然科学基金项目(71601013)；北京市自