Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …

Cross-domain image retrieval has been extensively studied due to its high practical value. In
recently proposed unsupervised cross-domain image retrieval methods, efforts are taken to …

With the proliferation of e-commerce websites and the ubiquitousness of smart phones,
cross-domain image retrieval using images taken by smart phones as queries to search …

Cross-domain image retrieval aims at retrieving images across different domains to
excavate cross-domain classificatory or correspondence relationships. This paper studies a …

The development of image diversity has led multiple fields' application of cross-domain
image retrieval. In this paper, we propose a heterogeneous dual network (two different …

Abstract Domain adaptive image retrieval includes single-domain retrieval and cross-
domain retrieval. Most of the existing image retrieval methods only focus on single-domain …

We address the problem of cross-domain image retrieval, considering the following practical
application: given a user photo depicting a clothing image, our goal is to retrieve the same or …

Unsupervised cross-domain image retrieval (UCIR) aims to retrieve images sharing the
same category across diverse domains without relying on labeled data. Prior approaches …

Current supervised cross-domain image retrieval methods can achieve excellent
performance. However, the cost of data collection and labeling imposes an intractable …

Existing cross-media retrieval methods are usually conducted under the supervised setting,
which need lots of annotated training data. Generally, it is extremely labor-consuming to …