With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …

Research in the overlapping area between Fashion and Information and Communication
Technologies–hereafter referred to as “Digital Fashion”–is growing and attracting the …

Abstract The goal of Universal Cross-Domain Retrieval (UCDR) is to achieve robust
performance in generalized test scenarios wherein data may belong to strictly unknown …

In recent years, it has become common for consumers to familiarize themselves with the
latest fashion trends through the internet and engage in their own fashion-inspired shopping …

This paper strives to predict fine-grained fashion similarity. In this similarity paradigm, one
should pay more attention to the similarity in terms of a specific design/attribute between …

This paper strives to learn fine-grained fashion similarity. In this similarity paradigm, one
should pay more attention to the similarity in terms of a specific design/attribute among …

In this paper, we study the task of visual-text retrieval in the highly practical setting in which
labelled visual data with paired text descriptions are available in one domain (the" source") …

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 …

The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

Fashion designs are rich in visual details associated with various visual attributes at both
global and local levels. As a result, effective modeling and analyzing fashion requires fine …