Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

Conditioned and composed image retrieval extend CBIR systems by combining a query
image with an additional text that expresses the intent of the user, describing additional …

Image-text matching plays a critical role in bridging the vision and language, and great
progress has been made by exploiting the global alignment between image and sentence …

Cross-modal matching, which aims to establish the correspondence between two different
modalities, is fundamental to a variety of tasks such as cross-modal retrieval and vision-and …

Nowadays, customer's demands for E-commerce are more diversified, which introduces
more complications to the product retrieval industry. Previous methods are either subject to …

Image–text matching is a crucial branch in multimedia retrieval which relies on learning inter-
modal correspondences. Most existing methods focus on global or local correspondence …

Exploiting fine-grained correspondence and visual-semantic alignments has shown great
potential in image-text matching. Generally, recent approaches first employ a cross-modal …

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 …

Fashion, as a popular aesthetic expression, is often conveyed in a specific context, in
particular in clothing, footwear, and accessories. Attributed to its enormous economic …