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 overlap** 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 …

The rising diversity, volume, and pace of fashion manufacturing pose a considerable
challenge in the fashion industry, making it difficult for customers to pick which product to …

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 shop** …

Fine-grained fashion retrieval (FGFR) aims to retrieve fashion items from a database that
match specific and detailed attributes of a query image. This task requires a model to discern …

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 …

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 …